[1]
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Portfolio Optimization by a Genetic Algorithm
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V Pacelli, V Bevilacqua - adeimf.it
NULL |
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[2]
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Urban expansion simulation and development-oriented zoning of rapidly urbanising areas: A case study of Hangzhou
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Science of the Total Environment,
2022 |
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[3]
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Stock Market Crisis Forecasting Using Neural Networks with Input Factor Selection
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Applied Sciences,
2022 |
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[4]
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Forecasting Inflation Rates in Ghana using Regression, Artificial Neural Networks and Support Vector Machines
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2021 |
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[5]
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Time series modelling, NARX neural network and hybrid KPCA–SVR approach to forecast the foreign exchange market in Mauritius
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2020 |
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[6]
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Forecasting Foreign Exchange Rate: A Multivariate Comparative Analysis between Traditional Econometric, Contemporary Machine Learning & Deep Learning …
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2020 |
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[7]
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Neural Network pricing of American put options
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2020 |
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[8]
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Review for Optimisation of Neural Networks with Genetic Algorithms and Design of Experiments in Stock Market Prediction.
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2019 |
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[9]
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Pattern Recognition and Predictive Modelling in Smart Grids
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2019 |
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[10]
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A COMPARATIVE STUDY OF EXPONENTIAL AND POLYNOMIAL MODEL FOR PREDICTION OF NAIRA TO DOLLAR EXCHANGE RATE: A MACHINE …
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2019 |
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[11]
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Multi-Step-Ahead Prediction of Exchange Rates Using Artificial Neural Networks: A Study on Selected Sri Lankan Foreign Exchange Rates
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2019 |
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[12]
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Forecasting Foreign Currency Exchange Price using Long Short-Term Memory with K-Nearest Neighbour Method
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2019 |
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[13]
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Understanding the characteristics of financial time series through neural network and SVM approaches
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2019 |
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[14]
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Datenanalysemethoden mit Anwendungen in der Akzeptanzforschung, bei Finanzmarktprognosen und der natürlichen Sprachverarbeitung
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2019 |
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[15]
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Comparison of machine learning methods for financial time series forecasting at the examples of over 10 years of daily and hourly data of DAX 30 and S&P 500
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2019 |
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[16]
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Review for Optimisation of Neural Networks With Genetic Algorithms and Design of Experiments in Stock Market Prediction
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2019 |
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[17]
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การ วิเคราะห์ อัตรา แลกเปลี่ยน เงิน บาท ด้วย แบบ จำลอง โครง ข่าย ประสาท เทียม
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2019 |
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[18]
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Pemodelan Hybrid Deret Waktu Klasik dengan Jaringan Saraf Tiruan pada Nilai Tukar Mata Uang
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2019 |
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[19]
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Implementasi Algoritma Neural Network Backpropagation Pada Trading Forex
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2019 |
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[20]
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Essays in Forecasting Financial Markets with Predictive Analytics Techniques
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2018 |
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[21]
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ФЕДЕРАЛЬНОЕ ГОСУДАРСТВЕННОЕ БЮДЖЕТНОЕ УЧРЕЖДЕНИЕ НАУКИ ИНСТИТУТ АРХЕОЛОГИИ РОССИЙСКОЙ АКАДЕМИИ НАУК
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2018 |
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[22]
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An Empirical Study on Importance of Modeling Parameters and Trading Volume-Based Features in Daily Stock Trading Using Neural Networks
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Informatics,
2018 |
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[23]
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Application of Artificial Neural Network (Ann) in Modeling Foreign Currency Exchange Rates
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2018 |
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[24]
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Learning Trends on the Fly in Time Series Data Using Plastic CGP Evolved Recurrent Neural Networks
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Artificial Neural Networks and Machine Learning – ICANN 2018,
2018 |
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[25]
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Prediksi Pergerakan Harga Valas Menggunakan Algoritma Neural Network
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2018 |
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[26]
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A deep belief network based precipitation forecast approach using multiple environmental factors
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Intelligent Data Analysis,
2018 |
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[27]
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Effects of the Swiss Franc/Euro Exchange Rate Floor on the Calibration of Probability Forecasts
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Forecasting,
2018 |
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[28]
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Predikcija vremenskih nizova pomoću talasića i neuralnih mreža sa primenom za predikciju valutnih parova
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2018 |
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[29]
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Application of Artificial Neural Network (Ann) in Modeling Foreign Currency Exchange Rates:(A case of Kenyan Shilling against four world's major currency)
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International Journal of Scientific Research and Management,
2018 |
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[30]
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Time Series Forecasting by Evolving Deep Belief Network with Negative Correlation Search
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2018 |
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[31]
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Application of Artificial Neural Network (Ann) in Modeling Foreign Currency Exchange Rates (A case of Kenyan Shilling against four world's major currency)
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2018 |
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[32]
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Forecasting the one day ahead magnitude and direction of the South African Volatility Index using a multilayer perceptron artificial neural network
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2018 |
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[33]
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Data mining in computational finance
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2017 |
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[34]
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Optimasi fuzzy backpropagation neural network dengan algoritma genetika untuk memprediksi nilai tukar rupiah terhadap dollar amerika
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Jurnal Kajian dan Terapan …,
2017 |
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[35]
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PREDICTION OF FOREIGN EXCHANGE RATE USING REGRESSION TECHNIQUES
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2017 |
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[36]
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Федеральное государственное бюджетное учреждение науки ИНСТИТУТ МАТЕМАТИКИ им. СЛ СОБОЛЕВА
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2017 |
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[37]
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Improving load forecasting based on deep learning and K-shape clustering
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2017 |
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[38]
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Comparative performance of wavelet-based neural network approaches
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Neural Computing and Applications,
2017 |
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[39]
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Predicting Optimal Trading Actions Using a Genetic Algorithm and Ensemble Method
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2017 |
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[40]
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A Design Space Exploration Framework for ANN-Based Fault Detection in Hardware Systems
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Journal of Electrical and Computer Engineering ,
2017 |
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[41]
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FOREX rate prediction using ANN and ANFIS
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2016 |
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[42]
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Deep-Learning-Based Approach for Prediction of Algal Blooms
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Sustainability,
2016 |
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[43]
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Knowledge-Based Aerodynamic Estimation of Airships
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International Journal of Mechanical Engineering and Robotics Research,
2016 |
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[44]
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Financial Time Series Forecasting Using Hybrid Wavelet-Neural Model
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2016 |
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[45]
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CONTRASTE ENTRE MODELOS DE REDES NEURONALES ARTIFICIALES, GLM Y GARCH EN EL PRONOSTICO Y ANALISIS DEL TIPO DE CAMBIO
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2016 |
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[46]
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Forecasting Foreign Exchange Rate during Crisis-A Neural Network Approach
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International Proceedings of Economics Development and Research,
2016 |
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[47]
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Contraste entre modelos de Redes Neuronales Artificiales, GLM y GARCH en el pronóstico y análisis del tipo de cambio mexicano: 2000-2014
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2016 |
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[48]
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Foreign Exchange Rate Forecasting using Levenberg-Marquardt Learning Algorithm
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2016 |
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[49]
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Prediction of Earnings per Share for Industry
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2016 |
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[50]
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Spot piyasalarda geliştirilen teknik kuralların vadeli işlem piyasalarında uygulanabilirliğinin test edilmesi
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2016 |
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[51]
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Forecasting of printing and writing paper consumption in Iran using artificial neural network and classical methods.
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Iranian journal of …,
2015 |
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[52]
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Forecasting exchange rate of Solomon Islands dollar against Euro using artificial neural network
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2015 |
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[53]
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Forecasting exchange rate of Kina against AUD using artificial neural network and time series models
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International Journal of Business Forecasting and Marketing Intelligence,
2015 |
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[54]
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Исследование регрессионных моделей зависимости курсов американского доллара и евро с помощью эмпирического моста
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2015 |
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[55]
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EUR/RSD exchange rate forecasting using hybrid wavelet-neural model: A case study
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Computer Science and Information Systems,
2015 |
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[56]
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Building an Algo-Trading Model using Artificial Neural Networks and Genetic Algorithms for Intraday FX Speculation
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2015 |
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[57]
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Software Design challenges in Time series prediction systems using Parallel Implementation of Artificial Neural Networks
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The Scientific World Journal,
2015 |
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[58]
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Forecasting of Foreign Currency Exchange Rate Using Neural Network
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International Journal of Engineering and Technology,
2015 |
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[59]
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Analysis and Forecasting of Exchange Rate using Artificial Neural Network
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2015 |
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[60]
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Multi-scale Foreign Exchange Rates Ensemble for Classification of Trends in Forex Market.
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2014 |
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[61]
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Artificial Neural Network Application in Modelling Revenue Returns from Mobile Payment Services in Kenya
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2014 |
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[62]
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İSTANBUL MENKUL KIYMETLER BORSASI'NDA İŞLEM GÖREN FİRMALARIN DESTEK VEKTÖR MAKİNELERİ KULLANILARAK SINIFLANDIRILMASI.
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2014 |
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[63]
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Analyzing time–frequency relationship between oil price and exchange rate in Pakistan through wavelets
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Journal of Applied Statistics,
2014 |
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[64]
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Reliability and accuracy of neural networks for exchange rate
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2014 |
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[65]
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Automatic Target Recognition Using Nonlinear Autoregressive Neural Networks
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2014 |
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[66]
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Vincenzo Pacelli è professore aggregato e ricercatore confermato di Economia degli interme-diari finanziari nel Dipartimento di Economia dell’Università di Foggia, dove ricopre gli inse-gnamenti di Gestione di portafogli finanziari e di Economia degli intermediari finanziari–Cor-so avanzato.
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2014 |
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[67]
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Analyza a predikce vyvoje devizovych trh? pomocí chaotickych atraktor? a neuronovych sítí
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2014 |
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[68]
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Multi-scale Foreign Exchange Rates Ensemble for Classification of Trends in Forex Market
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Procedia Computer Science,
2014 |
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[69]
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Forecasting exchange rates: Artificial neural networks vs regression
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2014 |
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[70]
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Short-term financial forecasting using ANN adaptive predictors in cascade
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International Journal of Process Management and Benchmarking,
2014 |
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[71]
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İstanbul menkul kıymetler borsası'nda işlem gören firmaların destek vektör makineleri kullanılarak sınıflandırılması
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2014 |
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[72]
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Artificial neural network application in modeling revenue returns from mobile payment services in Kenya
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American Journal of Theoretical and Applied Statistics,
2014 |
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[73]
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Time series forecasting using a deep belief network with restricted Boltzmann machines
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Neurocomputing.Elsevier,
2014 |
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[74]
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Use of Artificial Neural Network for the Construction of Lorenz Curve
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International Journal of Green Computing (IJGC),
2014 |
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[75]
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Features Extraction of Growth Trend in Social Websites Using Non-linear Genetic Programming
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Artificial Intelligence …,
2014 |
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[76]
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THE CLASSIFICATION OF THE FIRMS TRADED IN ISTANBUL STOCK EXCHANGE BY USING SUPPORT VECTOR MACHINES
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Pamukkale üniversitesi Mühendislik Bilimleri Dergisi,
2014 |
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[77]
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İstanbul Menkul Kıymetler Borsası'nda i̇şlem gören fi̇rmaların destek vektör maki̇neleri̇ kullanılarak sınıflandırılması
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2014 |
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[78]
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The importance and effects of economic variables on exchange rate in case of Iran
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2014 |
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[79]
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İSTANBUL MENKUL KIYMETLER BORSASI'NDA İŞLEM GÖREN FİRMALARIN DESTEK VEKTÖR MAKİNELERİ KULLANILARAK SINIFLANDIRILMASI THE …
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2014 |
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[80]
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ТРАНСЗВУКОВОЕ ОБТЕКАНИЕ КРЫЛОВЫХ ПРОФИЛЕЙ С ЛОКАЛЬНЫМ ИМПУЛЬСНЫМ ПОДВОДОМ ЭНЕРГИИ
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Thesis,
2014 |
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[81]
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Forecasting Exchange Rates of Foreign Currencies Using Artificial Neural Networks
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2013 |
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[82]
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Forecasting Tala-AUD and Tala-USD Exchange Rates with ANN
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World Academy of Science, …,
2013 |
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[83]
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Evolving Dynamic Forecasting Model for Foreign Currency Exchange Rates Using Plastic Neural Networks
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Machine Learning and Applications (ICMLA), 2013 12th International Conference on. Vol. 2. IEEE,
2013 |
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[84]
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Application Of Kalman Filter To Artificial Neural Networks Prediction For Foreign Exchange Rates
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Mathematical Theory and Modeling,
2013 |
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[85]
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Forecasting financial markets with artificial neural networks
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NULL
2013 |
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[86]
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A genetic programming approach for EUR/USD exchange rate forecasting and trading
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Computational Economics,
2013 |
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[87]
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Prediction of Foreign Currency Exchange Rates Using CGPANN
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Engineering Applications of Neural Networks. Springer Berlin Heidelberg,
2013 |
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[88]
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Forecasting Exchange Rate Using Neural Network Model
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Middle-East Journal of Scientific Research,
2013 |
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[89]
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Forecasting Tala/USD and Tala/AUD of Samoa using AR (1), and AR (4): A Comparative Study
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S Ahmed, MGM Khan, B Prasad - wseas.us,
2013 |
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[90]
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Linear and nonlinear trading models with gradient boosted random forests and application to Singapore stock market
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Journal of Intelligent Learning Systems and Applications,
2013 |
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[91]
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Are the Neural Networks 'Immune'From Database's Properties?
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TUCS Technical Report,
2013 |
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[92]
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Potential impacts of climate change on water resources in Lombok, Indonesia
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2012 |
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[93]
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Forecasting the Prices of Credit Default Swaps of Greece by a Neuro-fuzzy
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NULL
2012 |
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[94]
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New Modeling Methods and Applications to Financial Markets
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NULL
2012 |
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[95]
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Forecasting exchange rates: A comparative analysis
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International Journal of Business and Social Science,
2012 |
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[96]
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A novel multi objective genetic algorithm for the portfolio optimization
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Advanced Intelligent Computing,
2012 |
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[97]
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Chaos Effect of Rare Earth Elements: An Artificial Neural Network Analysis
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Applied Finance,
2012 |
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[98]
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Optimization of Intraday Trading Strategy Based on ACD Rules and Pivot Point System in Chinese Market
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Journal of Intelligent Learning Systems and Applications,
2012 |
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[99]
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Predictive Ability of the Interest Rate Spread Using Neural Networks
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Procedia Computer Science,
2011 |
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[100]
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The lower-limb bio-mechanics characteristics influence by total hip replacement
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2011 |
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[101]
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Evaluation of oil shale bitumen as a pavement asphalt additive to reduce moisture damage susceptibility
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1991 |
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[102]
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in Theory Mappings of the Complete Riemannian Manifolds,” Vestn. Novosib. Gos. Univ., Ser. Mat. Mekh. Inform., 15, No. 3. P. 3–10 (2015). In the present paper we …
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Notes,
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[103]
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An Analysis of Thai Baht Exchange Rate Using Artificial Neural Network Model
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