介绍了一种新的非参数回归R BF神经网络学习算法，该算法将R BF神经网络与回归树结合起来使用。
A new nonparametric regression learning algorithm for RBF neural network is presented. It is a novel method involving a combination between regression trees and RBF networks.
对于基因数据，则采用回归树分析基因与基因之间、基因与环境之间的交互作用。
For analysis of genomic data, regression tree approaches to the analysis of interactions between genes and between genes and the environment will be used.
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