A Hybrid Fuzzy Wavelet Neural Network Model with Self-Adapted Fuzzy c-Means Clustering and Genetic Algorithm for Water Quality Prediction in Rivers

Water quality prediction is the basis of water environmental planning, evaluation, and management. In this work, a novel intelligent prediction model based on the fuzzy wavelet neural network (FWNN) including the neural network (NN), the fuzzy logic (FL), the wavelet transform (WT), and the genetic...

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Veröffentlicht in:	Complexity (New York, N.Y.) Jg. 2018; H. 2018; S. 1 - 11
Hauptverfasser:	Ying, Guangguo, Kong, Shaofei, Ruan, Jujun, Cai, Jiannan, Yi, XiaoHui, Zhang, Chao, Liu, Hongbin, Tian, Di, Huang, Mingzhi, Zhang, Tao
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Cairo, Egypt Hindawi Publishing Corporation 01.01.2018 Hindawi John Wiley & Sons, Inc Wiley
Schlagworte:	Algorithms Analysis Artificial neural networks Chemical oxygen demand Clustering Computer simulation Data mining Environmental management Fuzzy logic Genetic algorithms Localization Machine learning Management Mathematical models Methods Neural networks Parameters Performance prediction Rain Rivers Sensors Software Variations Water Water quality Water temperature Wavelet transforms South China Sea China Pearl River
ISSN:	1076-2787, 1099-0526
Online-Zugang:	Volltext
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