THE PARAMETER OPTIMIZATION OF MMNN BASED ON GENETIC ALGORITHM COMBINED WITH SIMULATED ANNEALING AND ITS APPLICATION

Zhou Yue; Xiang Jinglin; Yang Jie

Volume 23 Issue 10

Oct. 2001

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Liu Zheng-jun, Zou Xi, Ran Chong-sen. Twice-Correlate Rapid Acquisition Algorithm for Synchronization of PRACH Preamble in WCDMA Reverse Link[J]. Journal of Electronics & Information Technology, 2004, 26(8): 1262-1268.

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Zhou Yue, Xiang Jinglin, Yang Jie. THE PARAMETER OPTIMIZATION OF MMNN BASED ON GENETIC ALGORITHM COMBINED WITH SIMULATED ANNEALING AND ITS APPLICATION[J]. Journal of Electronics & Information Technology, 2001, 23(10): 975-983.

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THE PARAMETER OPTIMIZATION OF MMNN BASED ON GENETIC ALGORITHM COMBINED WITH SIMULATED ANNEALING AND ITS APPLICATION

Zhou Yue^{①;相敬林},
Xiang Jinglin,
Yang Jie

Received Date: 1999-08-06
Rev Recd Date: 2000-03-18
Publish Date: 2001-10-19

Abstract

Abstract

In this paper, the structure and algorithm of Max-Min fuzzy neural network (MMNN) are studied in detail. In order to get rid of some intrinsic localization of the method and boost up the capability of the MMNN, a series of steps are presented and the improved project (IMMNN) is gained. With a view to making the capability even much better and compressing the time of the convergence, the op-IMMNN is put forward in which the parameters of IMMNN are optimized by genetic algorithm combined with simulated annealing. In the simula- tion, the result of op-IMMNN is superior over the conventional MMNNs. Finally, a satisfactory result is also obtained when op-IMMNN is regarded as a classifier to distinguish the types of the ships according to their actual radiated noise. Comparing with the neural network based on the back propagation algorithm, the advantages of the op-IMMNN are fully put up.

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References(1)

References

P.K. Simpson, Fuzzy Min-Max networks-part 1, Classification, IEEE Trans. on Neural Networks,1992, NN-3(5), 776-786.[2]P.K. Simpson, Fuzzy Min-Max networks-part 2, Clustering, IEEE Trans. on Fuzzy Systems,1993, 1(1), 32-45.[3]张讲社,徐宗本等,整体退火遗传算法及其收敛充要条件,中国科学E辑,1997,27(2),154 1G4[4]张涛,文学章,吸引子维数计算的几点改进,浙江大学学报(自然科学版),1993,27(5),673-679[5]Hisao Ishibuchi, KenNozahi, Selecting fuzzy if-then rules for classification problems using genetic algorithm, IEEE Trans. on Fuzzy Systems, 1995, 3(3), 260 270.

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