摘要： 通过比较BP各种模式,提出了BP神经网络的拆分和组装方法,阐述了它的正确性,并采用该方法来构造成一个学习结果达到均 方根误差全局最小点的BP神经网络。该方法在有效克服局部极小点这一问题上具有普遍意义。

关键词: 神经网络, 神经网络的拆分与组合, BP算法

Abstract: By analyzing BP training model, a solution named division and assembly by deducing the size of BP neural network to overcome entering the local best points is introduced. The dividing process is realized by dividing a big BP neural network into several small ones, each of which can carry out study alone. Thereafter, they can be assembled to become the quondam big BP neural work. This approach is analyzed in detail with an example.

中图分类号: 

• TP183