A Hybrid Fuzzy Wavelet Neural Network Model with Self-Adapted Fuzzy c-Means Clustering and Genetic Algorithm for Water Quality Prediction in Rivers
Mingzhi Huang, Hongbin di TianLiu, Chao Zhang, Xiaohui Yi, Jiannan Cai, Jujun Ruan, Tao Zhang, Shaofei Kong & Guangguo Ying
Complexity 2018:1-11 (2018)
AbstractWater 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 including the neural network, the fuzzy logic, the wavelet transform, and the genetic algorithm was proposed to simulate the nonlinearity of water quality parameters and water quality predictions. A self-adapted fuzzy c-means clustering was used to determine the number of fuzzy rules. A hybrid learning algorithm based on a genetic algorithm and gradient descent algorithm was employed to optimize the network parameters. Comparisons were made between the proposed FWNN model and the fuzzy neural network, the wavelet neural network, and the neural network. The results indicate that the FWNN made effective use of the self-adaptability of NN, the uncertainty capacity of FL, and the partial analysis ability of WT, so it could handle the fluctuation and the nonseasonal time series data of water quality, while exhibiting higher estimation accuracy and better robustness and achieving better performances for predicting water quality with high determination coefficients R2 over 0.90. The FWNN is feasible and reliable for simulating and predicting water quality in river.
Similar books and articles
An Adaptive Fuzzy Wavelet Network with Gradient Learning for Nonlinear Function Approximation.Sevcan Yilmaz & Yusuf Oysal - 2014 - Journal of Intelligent Systems 23 (2):201-212.
Improved FCM Algorithm Based on K-Means and Granular Computing.Zhuang Zhi Yan & Wei Jia Lu - 2015 - Journal of Intelligent Systems 24 (2):215-222.
Evolutionary discovery of fuzzy concepts in data.Lewis L. H. Chung & Keith C. C. Chan - 2003 - Brain and Mind 4 (2):253-268.
Fuzzy modelling and model reference neural adaptive control of the concentration in a chemical reactor.M. Bahita & K. Belarbi - 2018 - AI and Society 33 (2):189-196.
Trading on the Edge: Neural, Genetic, and Fuzzy Systems for Chaotic Financial Markets.Guido J. Deboeck - 1994 - Wiley.
Fuzzy closure systems on L-ordered sets.Lankun Guo, Guo-Qiang Zhang & Qingguo Li - 2011 - Mathematical Logic Quarterly 57 (3):281-291.
A type of fuzzy ring.Hacı Aktaş & Naim Çağman - 2007 - Archive for Mathematical Logic 46 (3-4):165-177.
A Modified Intuitionistic Fuzzy Clustering Algorithm for Medical Image Segmentation.S. V. Aruna Kumar & B. S. Harish - 2018 - Journal of Intelligent Systems 27 (4):593-607.
Fuzzy Galois connections on fuzzy posets.Wei Yao & Ling-Xia Lu - 2009 - Mathematical Logic Quarterly 55 (1):105-112.
Fuzzy Logic and Fuzzy Control: Ijcai '91 Workshops on Fuzzy Logic and Fuzzy Control, Sydney, Australia, August 24, 1991 : Proceedings. [REVIEW]Dimiter Driankov, Peter W. Eklund & Anca L. Ralescu - 1994 - Springer.
WNN-Based Prediction of Security Situation Awareness for the Civil Aviation Network.Zhijun Wu, Shaopu Ma & Lan Ma - 2015 - Journal of Intelligent Systems 24 (1):55-67.
Particle Swarm Optimization Neural Network for Flow Prediction in Vegetative Channel.Bimlesh Kumar & Anjaneya Jha - 2013 - Journal of Intelligent Systems 22 (4):487-501.
A New Clustering Algorithm Applying A Hierarchical Method Neural Network.Javier Bajo, Juan F. de Paz, Sara Rodríguez & Angélica González - 2011 - Logic Journal of the IGPL 19 (2):304-314.
Single-Valued Neutrosophic Minimum Spanning Tree and Its Clustering Method.Jun Ye - 2014 - Journal of Intelligent Systems 23 (3):311-324.
Added to PP
Historical graph of downloads
Citations of this work
No citations found.
References found in this work
The Dissolved Oxygen Prediction Method Based on Neural Network.Zhong Xiao, Lingxi Peng, Yi Chen, Haohuai Liu, Jiaqing Wang & Yangang Nie - 2017 - Complexity:1-6.
Wavelet neural network based on islanding detection via inverter-based DG.Mohsen Mohammadi, Akbar Danandeh, Hossein Nasir Aghdam & Nasser Ojaroudi - 2016 - Complexity 21 (2):309-324.