[1]申义彩 李军.基于小生境-遗传算法优化的新型BP模型[J].计算机技术与发展,2012,(09):135-138.
　SHEN Yi-ca,LI Jun.Optimized BP Neural Network Model Based on Niche-genetic Algorithm[J].,2012,(09):135-138.
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基于小生境-遗传算法优化的新型BP模型()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2012年09期
页码:
135-138
栏目:
智能、算法、系统工程
出版日期:
1900-01-01

文章信息/Info

Title:
Optimized BP Neural Network Model Based on Niche-genetic Algorithm
文章编号:
1673-629X（2012）09-0135-04
作者:
申义彩1 李军2
[1]河南中医学院[2]华北水利水电学院
Author(s):
SHEN Yi-ca ; LI Jun
[1]Henan University of TCM [2]North China University of Water Resources and Electric Power
关键词:
BP神经网络; 小生境遗传算法; 非线性映射; 遗传操作
Keywords:
BP neural network;  niche genetic algorithms;  nonlinear reflection;  genetic operations
分类号:
TP183
文献标志码:
A
摘要:
为解决传统BP神经网络模型易陷入局部极小点、网络结构不稳定、收敛速度慢等问题，提出了一个小生境遗传算法优化的BP神经网络模型。该网络模型借助BP神经网络的非线性映射和学习联想能力和小生境遗传算法的搜索能力，利用小生境遗传算法的选择、交叉、变异及小生境淘汰等操作，来对BP神经网络的初始权值和阈值进行优化，同时使用BP算法来训练该模型，从而有效地解决了网络初值不合理的问题，提高了网络收敛速度、稳定性。实验证明：与传统方法相比，该模型具有很强的可行性和有效性
Abstract:
According to shortcomings of BP neural network model, such as entrapment in local optimum, unstable network structure , slower convergence speed, etc. , an improved BP neural network model based on niche genetic algorithm I NGA-BP was presented. The proposed model firstly makes full use of the global searching ability of genetic algorithm and the nonlinear reflection ability and the association learning ability of BP neural network to optimize the initial connection weights and thresholds of the neural network by means of selection operation, crossover operation, mutation operation and niche pass, and then adopts BP algorithm to train network, which can effectively solve the questions of BP network about reasonable initial value and network misconvergence, and improve the convergence speed and the stability of network. The experiment results show that the model is more feasible and effective than the traditional methods

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备注/Memo

备注/Memo:
河南省科技攻关计划项目（102102310030）申义彩（1968-），女，讲师，研究方向为智能计算
更新日期/Last Update: 1900-01-01