A Novel Classification Method using the Combination of Further Division of Partition Space and Flexible Neural Tree

The combination of Further Division of Partition Space (FDPS) and Flexible Neural Tree (FNT) is proposed to improve the neural network classification performance. FDPS, which divide partition space into many partitions that will attach to different classes automatically, is a novel technique for neural network classification. FNT is a neural network’s structure which uses flexible tree model. The proposed method combines the advantages of these two methods and improves the capability. In order to evaluate the performance of this method, the Wisconsin breast cancer data set was used for classification test. Experiment results have shown that this method has favorable performance especially with respect to the optimization speed , the training accuracy and the accuracy of classified samples.