A New Genetic Algorithm for Lraining Neural NetworkChinese Full Text
Li Tonghong; Luo Siwei(Department of Computer Science, Northern Jiaotong University, Beijing 100044)
Abstract: In this paper, we propose a standardized method to reduce the large number of similar solutions. With experiments in simple network problem, several operators are compared and a new genetic algorithm named NGA is presented. The result demonstrates that NGA is better than the traditional GA in training neural networks.
Keywords:
ss: neural networks; genetic algorithm; operator/standardized method; similar solution,feed forward; multi-layer training;
- Series:
(C) Architecture/ Energy/ Traffic/ Electromechanics, etc; (I) Electronic Technology & Information Science
- Subject:
Automation Technology
- Classification Code:
TP183
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