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[1]
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Transformation trend of nitrogen and phosphorus in the sediment of the sewage pipeline and their distribution along the pipeline
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Science of The Total …,
2022 |
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[2]
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MLP-WOA is a successful algorithm for estimating sediment load in Kalahandi Gauge Station, India
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… Conference on Data …,
2022 |
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[3]
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Simulation of an Industrial Wastewater Treatment Plant by Up-flow Anaerobic Fixed Bed Bioreactor Based on an Artificial Neural Network
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Avicenna Journal of Environmental …,
2022 |
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[4]
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Multilayer perception and radial basis function models for predicting trends of rainfall in Asian megacity Dhaka, Bangladesh
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2022 |
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[5]
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Predicting suspended sediment load in Peninsular Malaysia using support vector machine and deep learning algorithms
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Scientific Reports,
2022 |
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[6]
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WATER QUALITY PREDICTION USING LSTM-RNN: A REVIEW
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Journal of Sustainability Science and …,
2022 |
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[7]
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Analysis and calculation of sediment scouring rate at different locations of storm sewer
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Water Science and …,
2021 |
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[8]
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Watershed Management and Applications of AI
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2021 |
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[9]
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Effect of Architectural Composition of MLP ANN in Neural Network Learning for Signal Power Loss Prediction.
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2021 |
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[10]
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Using Artificial Neural networks and Optimal Scaling Model to Forecast Agriculture Commodity Price: An Ecological-economic Approach
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2021 |
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[11]
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Modelling of river flow using particle swarm optimized cascade-forward neural networks: A case study of kelantan river in malaysia
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2020 |
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[12]
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Assessment of flexural and splitting strength of steel fiber reinforced concrete using automated neural network search
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2020 |
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[13]
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Forecasting the monthly incidence rate of brucellosis in west of Iran using time series and data mining from 2010 to 2019
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2020 |
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[14]
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Assessment of artificial neural network models based on the simulation of groundwater contaminant transport
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2020 |
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[15]
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A Gait Trajectory Control Scheme Through Successive Approximation Based on Radial Basis Function Neural Networks for the Lower Limb Exoskeleton Robot
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2020 |
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[16]
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Machine learning based co-optimization of carbon dioxide sequestration and oil recovery in CO2-EOR project
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2020 |
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[17]
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A Gait Trajectory Control Scheme through Successive 2 Approximation based on RBF Neural Networks for 3 the Lower Limb Exoskeleton Robot 4
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2020 |
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[18]
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A Novel Model Predictive Runge–Kutta Neural Network Controller for Nonlinear MIMO Systems
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2020 |
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[19]
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Assessment of Sediment Concentration Through RBNN and SVM-FFA in Arid Watershed, India
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2020 |
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[20]
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Data-Driven development of layer-by-layer nanofiltration membranes and processes
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2020 |
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[21]
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Öğrencilerin matematik başarılarını etkileyen faktörlerin rastgele orman, çok katmanlı algılayıcı ve radyal tabanlı fonksiyon yapay sinir ağları yöntemleri ile …
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2019 |
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[22]
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Average Voltage and Neural Network Based Scheme to Predict Transient Stability Status
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Jurnal Nasional Teknik …,
2019 |
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[23]
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Prediction of Water Demand Using Artificial Neural Networks Models and Statistical Model
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2019 |
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[24]
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Average Voltage and Multilayer Perceptron Neural Network Based Scheme to Predict Transient Stability Status
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2019 |
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[25]
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Prediction of Zika Virus by Multilayer Perceptron Neural Network (MLPNN) Using Cloud
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International Journal of Recent Technology and Engineering (IJRTE),
2019 |
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[26]
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An improved radial basis function networks in networks weights adjustment for training real-world nonlinear datasets
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2019 |
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[27]
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Predicting developmental degrees of music expression in early childhood by machine learning classifiers with 3D motion captured body movement data
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2019 |
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[28]
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Assessment of Enhanced Oil Recovery and CO Storage Capacity Using Machine Learning and Optimization Framework
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2019 |
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[29]
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Comparative Study of Conventional and Computerized Reconstruction Techniques for Flow Time Series Data of Hydrometric Station
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2019 |
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[30]
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Unedited version published on 14/03/2019
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2019 |
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[31]
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Forecasting Abilities of MIMO and SISO Neural Networks: A Comparative Study using Telecommunication Traffic Data
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2019 |
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[32]
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Modelling soil cation exchange capacity in different land-use systems using artificial neural networks and multiple regression analysis
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2019 |
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[33]
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Assessment of enhanced oil recovery and CO2 storage capacity using machine learning and optimization framework
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2019 |
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[34]
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Modelling soil cation exchange capacity in different land-use systems using artificial neural networks and multiple regression analysis.
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2019 |
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[35]
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مقایسه کارآیی شبکههای عصبی CANFIS، MLP و MLP بهینه شده به روش ژنتیک در شبیهسازی رسوب معلق رودخانه (مطالعه موردی: حوزه آبخیز زشک-ابرده، شاندیز)
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2018 |
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[36]
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Comparing the capability of various models for predicting of the Bayer process parameters
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2018 |
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[37]
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REAL-TIME TRANSIENT STABILITY STATUS PREDICTION SCHEME AND COMPARATIVE ANALYSIS OF THE PERFORMANCE OF SVM, MLPNN AND …
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2018 |
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[38]
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Prediction of Soil Nitrogen Content using E-nose and Radial Basis Function
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2018 |
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[39]
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Performance Comparison of the Neural Networks CANFIS, MLP and Optimized MLP using Genetic Programming for Suspended Sediment Load Simulation (Case …
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2018 |
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[40]
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Modelling of propagation path loss using adaptive hybrid artificial neural network approach for outdoor environments.
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ResearchSpace,
2018 |
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[41]
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An improved method of estimation for risk loss cost in natural gas network layout optimization
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2018 |
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[42]
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Comparative Application of Radial Basis Function and Multilayer Perceptron Neural Networks to Predict Traffic Noise Pollution in Tehran Roads
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2018 |
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[43]
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Estimations of nitrate nitrogen, total phosphorus flux and suspended sediment concentration (SSC) as indicators of surface-erosion processes using an ANN (Artificial …
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Ecological Indicators,
2018 |
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[44]
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Predicting energy consumption using artificial neural networks: a case study of the UAE
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2018 |
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[45]
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The Research on the Deposition Regularity of Suspended Particles in Storm Sewer
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Water, Air, & Soil Pollution,
2018 |
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[46]
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Geospatial data mining for digital raster mapping
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GIScience & Remote Sensing,
2018 |
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[47]
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Performance comparison of land change modeling techniques for land use projection of arid watersheds
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2018 |
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[48]
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REAL-TIME TRANSIENT STABILITY STATUS PREDICTION SCHEME AND COMPARATIVE ANALYSIS OF THE PERFORMANCE OF SVM, MLPNN AND RBFNN.
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Carpathian Journal of Electrical Engineering,
2018 |
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[49]
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Comparing the Capability of Various Models for Predicting the Bayer Process Parameters
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2018 |
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[50]
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Monitoramento e modelagem da produção de sedimentos em uma bacia hidrográfica no noroeste do Rio Grande do Sul
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2017 |
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[51]
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MRI 영상의 유효영역과 GLCM 에 의한 질감특징 추출에 따른 신경망 기반 뇌종양 진단에 관한 연구
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Journal of Korean Institute of Intelligent Systems,
2017 |
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[52]
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Artificial neural network models for early diagnosis of hepatocellular carcinoma using serum levels of α-fetoprotein, α-fetoprotein-L3, des-γ-carboxy …
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Oncotarget,
2017 |
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[53]
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On-line determination of transient stability status using MLPNN
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2017 |
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[54]
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Loan decision models for the Jordanian commercial banks
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Global Business and Economics Review,
2017 |
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[55]
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Credit Risk Assessment Based on Flexible Neural Tree Model
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Advances in Neural Networks - ISNN 2017,
2017 |
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[56]
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Fractional order adaptive fuzzy terminal sliding mode controller design for a knee joint orthosis with nonlinear disturbance observer
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2017 |
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[57]
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Suspended Sediment Prediction using Time Series and Artificial Neural Networks Models (Case Study: Ghazaghly Station in Gorganroud River)
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2016 |
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[58]
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Prediction of Red Mud Bound-Soda Losses in Bayer Process Using Neural Networks
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2016 |
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[59]
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Inteligência artificial aplicada à melhoria da acurácia do mapeamento de redes de drenagem.
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2016 |
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[60]
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پیش بینی بار معلق رودخانه با استفاده از مدلهای سری زمانی و شبکه عصبی مصنوعی (مطالعه موردی: ایستگاه قزاقلی رودخانه گرگانرود)
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2016 |
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[61]
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Application of Rainfall Time Series and Climatic Indices for Drought Prediction using Co-Active Neurofuzzy Inference System (Case Study: Birjand, Southern Khorasan …
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2016 |
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[62]
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Inteligência artificial aplicada à melhoria da acurácia do mapeamento de redes de drenagem
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2016 |
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[63]
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Improving the performance of multi-layer perceptron and radial basis function models with a decision tree model to predict flow variables in a sharp 90 bend
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Applied Soft Computing,
2016 |
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[64]
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RBF neural network-based online intelligent management of a battery energy storage system for stand-alone microgrids
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Energy, Sustainability and Society,
2016 |
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[65]
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کاربرد سری های زمانی بارش و نمایه های آماری اقلیمی در پیش بینی خشکسالی به کمک شبکه CANFIS (مطالعه موردی: بیرجند-خراسان جنوبی)
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خشکبوم,
2016 |
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[66]
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Improving the performance of multi-layer perceptron and radial basis function models with a decision tree model to predict flow variables in a sharp 90° bend
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Applied Soft Computing,
2016 |
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[67]
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Prediction of biological and grain yield of barley using multiple regression and artificial neural network models
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Australian Journal of Crop Science,
2016 |
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[68]
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ﭘﯿﺶﺑﯿﻨﯽ ﺑﺎر ﻣﻌﻠﻖ رودﺧﺎﻧﻪ ﺑﺎ اﺳﺘﻔﺎده از ﻣﺪلﻫﺎی ﺳﺮی زﻣﺎﻧﯽ و ﺷﺒﮑﻪ ﻋﺼﺒﯽ ﻣﺼﻨﻮﻋﯽ (ﻣﻄﺎﻟﻌﻪ ﻣﻮردی: اﯾﺴﺘﮕﺎه ﻗﺰاﻗﻠﯽ رودﺧﺎﻧﻪ ﮔﺮﮔﺎﻧﺮود)
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2016 |
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[69]
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Predicting Schizophrenia at Risk of Readmissions in the Short-and Long-Term using Decision Tree Model
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2016 |
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[70]
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A comparison of regression analysis for predicting the daily number of anxiety-related outpatient visits with different time series data mining
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2015 |
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[71]
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Performance comparison of neural networks for intelligent management of distributed generators in a distribution system
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International Journal of Electrical Power & Energy Systems,
2015 |
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[72]
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Application of factor analysis in a large‐scale industrial wastewater treatment plant simulation using principal component analysis–artificial neural network hybrid approach:(Case Study: Fajr Industrial Wastewater Treatment Plant, Mahshahr, Iran)
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Environmental Progress & Sustainable Energy,
2015 |
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[73]
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A radial basis function neural network adaptive controller to drive a powered lower limb knee joint orthosis
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Applied Soft Computing,
2015 |
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[74]
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Drought prediction using co-active neuro-fuzzy inference system, validation, and uncertainty analysis (case study: Birjand, Iran)
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Theoretical and Applied Climatology,
2015 |
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[75]
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Time Series Forecasting in Anxiety Disorders of Outpatient Visits using Data Mining
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KKU Res. J.,
2015 |
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[76]
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Prediction of transient stability status and coherent generator groups
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2015 |
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[77]
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Application of factor analysis in a large‐scale industrial wastewater treatment plant simulation using principal component analysis–artificial neural network hybrid …
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Environmental Progress & Sustainable Energy,
2015 |
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[78]
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به کارگیری روش های آماری برای افزایش دقت مدلسازی تصفیه خانه های فاضلاب صنعتی با استفاده از شبکه های عصبی مصنوعی
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2015 |
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[79]
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Application of Statistical Techniques In Order To Improve Neural Modeling of Industrial Waste Water Treatment Plants
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2015 |
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[80]
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A Second Order Sliding Mode Control and a Neural Network to Drive a Knee Joint Actuated Orthosis
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Neurocomputing,
2014 |
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[81]
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Financial time series prediction by a random data-time effective RBF neural network
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Soft Computing,
2014 |
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[82]
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Credit risk assessment model for Jordanian commercial banks: Neural scoring approach
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Review of Development Finance,
2014 |
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[83]
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Neural networks for prediction of stream flow based on snow accumulation
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2014 |
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[84]
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Coupling Singular Spectrum Analysis with Artificial Neural Network to Improve Accuracy of Sediment Load Prediction
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Journal of Water Resource and Protection,
2013 |
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[85]
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Evaluation of sediment transport in sewer using artificial neural network
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Engineering Applications of Computational Fluid Mechanics,
2013 |
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[86]
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Using artificial neural network to estimate sediment load in Ungauged catchments of the Tonle Sap River Basin, Cambodia
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Journal of Water Resource and Protection,
2013 |
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[87]
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RBF-Based Neuro-Adaptive Controller for a Knee Joint Rehabilitation Orthosis
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Neural Information Processing,
2013 |
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[88]
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An expert integrative approach for sediment load simulation in a tropical watershed
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Journal of Integrative Environmental Sciences,
2013 |
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[89]
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Prediction of Suspended Sediment Concentration in Kinta River Using Soft Computing Techniques
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2013 |
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[90]
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Thai musical instrument recognition and classification using C5. 0 algorithm
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2012 |
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