NEURAL NETWORK OPTIMIZING ALGORITHM OF CHINESE INFORMATION AUTOCLASSIFICATION

According to two old methods of auto-classification of Chinese document, we provide an optimizing method based on the neural network algorithm. This method uses the theory of neural network, combines with the professional experiences of experts, imitates the process of manual classification, and optimizes the last two classification methods. The theory, architecture, and optimization of the new method are showed in the paper.