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优化反向传播神经网络的自适应遗传算法
引用本文:戈玲,吴新余. 优化反向传播神经网络的自适应遗传算法[J]. 南京邮电大学学报(自然科学版), 1998, 0(3)
作者姓名:戈玲  吴新余
作者单位:南京邮电学院电子工程系
摘    要:探讨了用遗传算法优化反向传播神经网络的问题。通过对不同遗传操作的分析和改进,提出了一种能有效进行局部搜索和全局搜索的自适应遗传算法。计算结果表明,该算法能快速地求出问题的全局最优解,且具有较好的计算精度。

关 键 词:遗传算法,自适应算法,神经网络,反向传播

BP Neural Network Optimization using Adaptive Genetic Algorithm
Ge Ling Wu Xinyu. BP Neural Network Optimization using Adaptive Genetic Algorithm[J]. JJournal of Nanjing University of Posts and Telecommunications, 1998, 0(3)
Authors:Ge Ling Wu Xinyu
Affiliation:Ge Ling Wu Xinyu Department of Electronic Engineering,Nanjing Institute of Posts and Telecommunications,210003,Nanjing,PRC
Abstract:This paper discusses the problem of optimizing back propagation (BP) neural network with genetic algorithm (GA). Based on the analysis and optimization of the different genetic operations, a new adaptive genetic algorithm is presented, which is effective for both local search and global search. The computing results show that it not only can find rapidly the approximate global optimal solution, but also has high computing accuracy.
Keywords:Genetic algorithm   Adaptive algorithm   Neural networks   Back propagation
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