摘要
分析了引起ＢＰ算法局部收敛现象的原因，探讨了解决的途径．通过对遗传算法中的基因群体的实数化，并将其与ＢＰ算法有机地集成起来，提出了遗传ＢＰ算法．此外，在借鉴网络剪枝法思想的基础上，重新定义网络结构复杂度函数，并以遗传算法直接求解网络结构优化问题，给出了网络结构优化策略．
In this paper, when classical genetic algorithms are applied to the region of real number and integrated with BP algorithm, a hybrid GA BP learning algorithm is proposed. Besides, with the aid of genetic algorithms as well as the improvement of network complexity function, a structure optimization strategy which is on the basis of network stripping is proposed. The efficiency of research work mentioned above has been shown by numerical simulations and industrial applications.
出处
《自动化学报》
EI
CSCD
北大核心
1997年第1期43-49,共7页
Acta Automatica Sinica
关键词
神经网络
遗传算法
BP算法
结构优化
Artificial neural networks, genetic algorithms, backpropagation algorithm, structure optimization.
