Title :
Optimizing a Fuzzy Neural Network with a Hierarchical Genetic Algorithm
Author :
Ma, Ming ; Zhang, Li-Biao
Author_Institution :
Beihua Univ., Jilin
Abstract :
We have proposed an algorithm to optimize fuzzy neural network based on hierarchical genetic algorithm. It can evolve both the fuzzy neural network´s topology and weighting parameters. In a real problem, it can automatically obtain the near-optimal structure of fuzzy neural network according to the requirements. Numerical simulations show the effectiveness of the proposed algorithm.
Keywords :
fuzzy neural nets; genetic algorithms; topology; fuzzy neural network optimisation; fuzzy neural network topology; hierarchical genetic algorithm; Algorithm design and analysis; Biological cells; Cybernetics; Data mining; Fuzzy control; Fuzzy neural networks; Genetic algorithms; Machine learning; Network topology; Neural networks; Fuzzy neural network; Hierarchical genetic algorithm; Optimize;
Conference_Titel :
Machine Learning and Cybernetics, 2007 International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-0973-0
Electronic_ISBN :
978-1-4244-0973-0
DOI :
10.1109/ICMLC.2007.4370626
