首页 | 本学科首页   官方微博 | 高级检索  
     检索      

基于免疫遗传算法的BP神经网络模型
引用本文:侯静,张万江,韩中华.基于免疫遗传算法的BP神经网络模型[J].科技广场,2009(1).
作者姓名:侯静  张万江  韩中华
作者单位:沈阳建筑大学,辽宁,沈阳,110168
摘    要:本文研究了基于免疫遗传算法的BP神经网络模型,利用免疫遗传算法的全局搜索寻优能力和较好的收敛性,优化了神经网络的权值.仿真实验证明该模型具有较好的全局收敛性和快速学习神经网络权值的能力.

关 键 词:BP神经网络  免疫遗传算法  权值优化

Model of BP Neural Network Based on Immune Genetic Algorithm
Hou Jing,Zhang WanJiang,Han Zhonghua.Model of BP Neural Network Based on Immune Genetic Algorithm[J].Science Mosaic,2009(1).
Authors:Hou Jing  Zhang WanJiang  Han Zhonghua
Institution:Shenyang Jianzhu University;Liaoning Shenyang 110168
Abstract:This paper studies the model of BP neural network based on immune genetic algorithm. IGA has the abilities of searching for global optima and better convergence. By applying these abilities, the model optimizes the weights of neural network. The simulation experiments show that this model has the better a- bility of convergent on whole solution space and the capacity of fast learning.
Keywords:BP Neural Network  Immune Genetic Algorithm  Weight Optimizing  
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号