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.

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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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