The first part of this thesis describes the theory of rbf neural networks . the input space is thus divided into hyperrectangles organized into a regression tree ( binary tree ) by recursively partition the input space in two 第一部分从rbf网络出发，通过递归分割将输入空间划分为两部分，从而将输入空间变成一个用超矩形构成的回归树(二叉树) 。
