ELMAN Neural Network with Modified Grey Wolf Optimizer for Enhanced Wind Speed Forecasting

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Circuits and Systems

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"ELMAN Neural Network with Modified Grey Wolf Optimizer for Enhanced Wind Speed Forecasting"
written by M. Madhiarasan, S. N. Deepa,
published by Circuits and Systems, Vol.7 No.10, 2016

has been cited by the following article(s):

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[1]	Analysis of Artificial Neural Network: Architecture, Types, and Forecasting Applications
	Journal of Electrical and Computer …, 2022

[2]	Short-Term Wind Speed Forecasting Using Meta Learning-based Elman Neural Network
	Journal of Physics: Conference Series, 2021

[3]	A novel evolutionary-based deep convolutional neural network model for intelligent load forecasting
	2021

[4]	A greedy non‐hierarchical grey wolf optimizer for real‐world optimization
	2021

[5]	Comparation of Elman neural network, long short-term memory, and gated recurrent unit in predicting dengue hemorrhagic fever at DKI Jakarta
	Commun. Math. Biol …, 2021

[6]	Analysis of artificial neural network performance based on influencing factors for temperature forecasting applications
	2020

[7]	Accurate prediction of different forecast horizons wind speed using a recursive radial basis function neural network
	2020

[8]	Analysis of Variable Learning Rate Back Propagation with Cuckoo Search Algorithm for Data Classification
	2020

[9]	Piecewise Time Series Prediction Based on Stacked Long Short-Term Memory and Genetic Algorithm
	2020

[10]	Self Adaptive Grey Wolf Optimization Algorithm for Large Scale Optimization Problems
	2019

[11]	Short-term load forecasting based on Elman Neural Network optimized by Firefly Algorithm
	2019

[12]	A multi hidden recurrent neural network with a modified grey wolf optimizer
	2019

[13]	An Improved Elman Neural Network with Piecewise Weighted Gradient for Time Series Prediction
	2019

[14]	基于 GA-Elman 的河流水位预测方法研究
	2018

[15]	Determination of Adequate Hidden Neurons in Combo Neural Network Using New Formulation and Fine Tuning with IMGWOA for Enrich Wind-Speed Forecasting
	2018

[16]	Prediction of river water level by GA-Elman model
	Journal of Yangtze River Scientific …, 2018

[17]	Grey Wolf Optimizer for Training Elman Neural Network
	Proceedings of the 16th International Conference on Hybrid Intelligent Systems (HIS 2016), 2016

[18]	Comprehensive Study of Various Forecasting Techniques for Forecast of Wind Speed in the Field of Wind Energy System.
	TIDEE (TERI Information Digest on Energy & Environment), 2016

[19]	Comprehensive Study of Various Forecasting Techniques for Forecast of Wind Speed in the Field of Wind Energy System
	2016

[1]	Analysis of Artificial Neural Network: Architecture, Types, and Forecasting Applications Journal of Electrical and Computer Engineering, 2022 DOI:10.1155/2022/5416722

[2]	A greedy non‐hierarchical grey wolf optimizer for real‐world optimization Electronics Letters, 2021 DOI:10.1049/ell2.12176

[3]	A greedy non‐hierarchical grey wolf optimizer for real‐world optimization Electronics Letters, 2021 DOI:10.1049/ell2.12176

[4]	International Conference on Emerging Applications and Technologies for Industry 4.0 (EATI’2020) Lecture Notes in Networks and Systems, 2021 DOI:10.1007/978-3-030-80216-5_2

[5]	A Novel Evolutionary-Based Deep Convolutional Neural Network Model for Intelligent Load Forecasting IEEE Transactions on Industrial Informatics, 2021 DOI:10.1109/TII.2021.3065718

[6]	Short-Term Wind Speed Forecasting Using Meta Learning-based Elman Neural Network Journal of Physics: Conference Series, 2021 DOI:10.1088/1742-6596/2068/1/012045

[7]	Accurate prediction of different forecast horizons wind speed using a recursive radial basis function neural network Protection and Control of Modern Power Systems, 2020 DOI:10.1186/s41601-020-00166-8

[8]	Analysis of artificial neural network performance based on influencing factors for temperature forecasting applications Journal of High Speed Networks, 2020 DOI:10.3233/JHS-200639

[9]	Piecewise Time Series Prediction Based on Stacked Long Short-Term Memory and Genetic Algorithm 2020 Chinese Automation Congress (CAC), 2020 DOI:10.1109/CAC51589.2020.9327694

[10]	A multi hidden recurrent neural network with a modified grey wolf optimizer PLOS ONE, 2019 DOI:10.1371/journal.pone.0213237

[11]	An improved Elman neural network with piecewise weighted gradient for time series prediction Neurocomputing, 2019 DOI:10.1016/j.neucom.2019.06.001

[12]	Short-term load forecasting based on Elman Neural Network optimized by Firefly Algorithm 2019 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia), 2019 DOI:10.1109/ISGT-Asia.2019.8881458

[13]	Proceedings of the 16th International Conference on Hybrid Intelligent Systems (HIS 2016) Advances in Intelligent Systems and Computing, 2017 DOI:10.1007/978-3-319-52941-7_38

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