RBF Network Based on Improved Niche Hybrid Hierarchy Genetic Algorithm

Fang Wang; Jin Lan Yu; Pin Chang Zhu; Xi Feng Wei

doi:10.4028/www.scientific.net/AMR.433-440.775

Paper Titles

Introduction of a Novel and Powerful Optimization Method Using Genetic Algorithm and Finite Element Method
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Kinematic Analysis of a Dexterous Hand
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A Study on a Reconstructed Anterior Cruciate Ligament
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Rock Mass Deformation Long-Term Forecast via DRNN Neural Network Model
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RBF Network Based on Improved Niche Hybrid Hierarchy Genetic Algorithm
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The Study of Low Frequency Oscillations Parameters Identification in Power System Based on Improved HHT Method
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The Preventive of Diseases for Elderly People – An Analysis of Health Examination Data of Adults
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Removal of Hexavalent Chromium and Turbidity in Drinking Water by Chitosan
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Analysis of 2,6-Dinitrotoluene Toxicity to Common Carp (Cyprinus carpio)
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RBF Network Based on Improved Niche Hybrid Hierarchy Genetic Algorithm

Abstract:

The improved niche hybrid hierarchy genetic algorithm is presented to overcome the premature convergence which happens in genetic algorithm constructing RBF network. The niche with poor fitness of every individual is eliminated to save system resource and raise operation speed. The simulation results demonstrate the better predicted performance on the Mackey-Glass chaotic time series than other algorithms.