Classification trees and multilayer feed forward neural networks are two popular approaches to the pattern recognition problem. In this paper

a new pattern classification way based on neural treeis presented. This approach uses some small scale neural networks as the nodes of the classification tree to extract the nonlinear features of patterns. The experiment results have shown that this approach can decrease the error rate of pattern recognition and the number of nodes of classification tree

also can shorter the training time of neural network.