摘要
提出了一种改进的RBF网络构造算法.在该算法中,根据"新性准则"对网络进行结构优化,该方法能自动设计出规模合理的RBF网络结构,最终设计的网络不仅具有精简的网络结构,也具有较好的泛化能力.
In this article, a conformation method based on RBF neural networks is proposed. The new properties principle is used to optimize the network structure. The unimportant units will be pruned. So RBF can produce a compact network structure automatically. Obtained RBF network can generalize well.
出处
《沈阳工程学院学报（自然科学版）》
2008年第2期144-146,共3页
Journal of Shenyang Institute of Engineering:Natural Science
关键词
神经网络
建模
配料
neural networks
modeling
mixture
