Classification Algorithm Based on a Chaotic Neural Network
基于混沌神经网络的分类算法

In this paper, a classification algorithm based on Chaotic Neural Network(CNN) was presented, which established classifiers by a group of threclayer feed-forward CNN. The chaotic neural networks were trained an improving algorithm. The class label of the identifying data could first be evaluated by each chaotic neural network, and the final classification result was obtained. Experimental results show that the algorithm CNN is effective for the classification,and has the better performance in classification precision, stability comparing with the traditional neural network algorithms and decision trees algorithm.