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。
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.
出处
《南京邮电学院学报》
1998年第3期1-4,共4页
Journal of Nanjing University of Posts and Telecommunications(Natural Science)
关键词
遗传算法
自适应算法
神经网络
反向传播
Genetic algorithm, Adaptive algorithm, Neural networks, Back propagation
