Time Series Forecasting Using Wavelet-Least Squares Support Vector Machines and Wavelet Regression Models for Monthly Stream Flow Data

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"Time Series Forecasting Using Wavelet-Least Squares Support Vector Machines and Wavelet Regression Models for Monthly Stream Flow Data"
written by Siraj Muhammed Pandhiani, Ani Bin Shabri,
published by Open Journal of Statistics, Vol.3 No.3, 2013

has been cited by the following article(s):

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[2]	Evaluation of seawater intrusion and water quality prediction in Dagu River of North China based on fuzzy analytic hierarchy process exponential smoothing method
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[3]	A hybrid forecasting model based on the group method of data handling and wavelet decomposition for monthly rivers streamflow data sets
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[4]	Closure to “Time-Series Prediction of Streamflows of Malaysian Rivers Using Data-Driven Techniques” by Siraj Muhammed Pandhiani, Parveen Sihag …
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[5]	Time-Series Prediction of Streamflows of Malaysian Rivers Using Data-Driven Techniques
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[6]	Linking Singular Spectrum Analysis and Machine Learning for Monthly Rainfall Forecasting
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[7]	Conjunction Model Design for Intermittent Streamflow Forecasts: Extreme Learning Machine with Discrete Wavelet Transform
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[15]	Hydrological Time Series Forecasting Using Three Different Heuristic Regression Techniques
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[17]	Exchange Rate Forecasting Using Modified Empirical Mode Decomposition and Least Squares Support Vector Machine.
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[22]	Time Series Forecasting by Using Hybrid Models for Monthly Streamflow Data
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[24]	Study of Time Series Data Mining for the Real Time Hydrological Forecasting: A Review
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[25]	A COMPARITIVE ANALYSIS AND TIME SERIES FORECASTING OF MONTHLY STREAM FLOW DATA USING HYBRID MODEL
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[26]	Hydroecology of invertebrate communities in equatorial glacier-fed streams
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[27]	Least Squares Support Vector Machine Based on Wavelet-Neuron/Uz wavelet neironiem balstītā minimālo kvadrātu atbalsta vektoru ma?īna/Машина опорных векторов наименьших квадратов на основе вэйвлет-нейрона
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[28]	An Efficient Approach of Support Vector Machine for Runoff Forecasting
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[33]	Least Squares Support Vector Machine Based on Wavelet-Neuron.
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[1]	Discriminant Analysis of the Solar Input on the Danube’s Discharge in the Lower Basin Atmosphere, 2023 DOI:10.3390/atmos14081281

[2]	DEVELOPMENT OF RAINFALL FORECASTING MODEL USING MACHINE LEARNING WITH SINGULAR SPECTRUM ANALYSIS IIUM Engineering Journal, 2022 DOI:10.31436/iiumej.v23i1.1822

[3]	Evaluation of seawater intrusion and water quality prediction in Dagu River of North China based on fuzzy analytic hierarchy process exponential smoothing method Environmental Science and Pollution Research, 2022 DOI:10.1007/s11356-022-19871-y

[4]	A hybrid forecasting model based on the group method of data handling and wavelet decomposition for monthly rivers streamflow data sets Open Physics, 2022 DOI:10.1515/phys-2022-0066

[5]	Wavelet Decomposition Impacts on Traditional Forecasting Time Series Models Computer Modeling in Engineering & Sciences, 2022 DOI:10.32604/cmes.2022.017822

[6]	Closure to “Time-Series Prediction of Streamflows of Malaysian Rivers Using Data-Driven Techniques” by Siraj Muhammed Pandhiani, Parveen Sihag, Ani Bin Shabri, Balraj Singh, and Quoc Bao Pham Journal of Irrigation and Drainage Engineering, 2021 DOI:10.1061/(ASCE)IR.1943-4774.0001601

[7]	Intelligent Data Analytics for Decision-Support Systems in Hazard Mitigation Springer Transactions in Civil and Environmental Engineering, 2021 DOI:10.1007/978-981-15-5772-9_9

[8]	Linking Singular Spectrum Analysis and Machine Learning for Monthly Rainfall Forecasting Applied Sciences, 2020 DOI:10.3390/app10093224

[9]	Emerging Trends in Intelligent Computing and Informatics Advances in Intelligent Systems and Computing, 2020 DOI:10.1007/978-3-030-33582-3_15

[10]	Time-Series Prediction of Streamflows of Malaysian Rivers Using Data-Driven Techniques Journal of Irrigation and Drainage Engineering, 2020 DOI:10.1061/(ASCE)IR.1943-4774.0001463

[11]	Reservoir Inflow Prediction by Ensembling Wavelet and Bootstrap Techniques to Multiple Linear Regression Model Water Resources Management, 2019 DOI:10.1007/s11269-019-02418-1

[12]	A novel prediction model of PM2.5 mass concentration based on back propagation neural network algorithm Journal of Intelligent & Fuzzy Systems, 2019 DOI:10.3233/JIFS-179119

[13]	Handbook of Neural Computation 2017 DOI:10.1016/B978-0-12-811318-9.00003-X

[14]	Adaptive PSO-LS-wavelet H ∞ control for two-wheeled self-balancing scooter International Journal of Control, Automation and Systems, 2017 DOI:10.1007/s12555-016-0001-2

[15]	Investigation of the severity level of diabetic retinopathy using supervised classifier algorithms Computers & Electrical Engineering, 2015 DOI:10.1016/j.compeleceng.2015.01.013

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