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基于遗传算法的神经网络分类器优化设计
引用本文:周而重,逄玉俊. 基于遗传算法的神经网络分类器优化设计[J]. 沈阳大学学报:自然科学版, 2006, 18(5): 96-99
作者姓名:周而重  逄玉俊
作者单位:沈阳化工学院,计算机科学与技术学院,辽宁,沈阳,110142
摘    要:依据神经网络分类器的设计原理,设计了一种有效的遗传算法,实验结果表明:算法优化后的神经网络分类器不但学习速度快,还能保证分类精度.

关 键 词:BP神经网络  遗传算法  遗传算子
文章编号:1008-9225(2006)05-0096-04
收稿时间:2006-06-25
修稿时间:2006-06-25

Design of Neural Network Classifier Optimizing Based on Genetic Algorithm
ZHOU Erzhong,PANG Yujun. Design of Neural Network Classifier Optimizing Based on Genetic Algorithm[J]. Journal of Shenyang University, 2006, 18(5): 96-99
Authors:ZHOU Erzhong  PANG Yujun
Affiliation:College of Computer Science and Technology, Shenyang Institute of Chemical Technology, Shenyang 110142, China
Abstract:According to principle of neural network classifier design, an effective genetic algorithm is designed. Experiment shows neural network classifier that is optimized by algorithm could not only have fast learning speed but also ensure accuracy of classification.
Keywords:BP neural network   genetic algorithm   genetic operator
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