论文信息 - Web information classifying and navigation based on neural network

Web information classifying and navigation based on neural network

A quantum neural network classifier is presented, which can classify chinese Web information into each subject. Based on this quantum neural network classifier, a framework of chinese Web information navigation is proposed. We choose keywords of Web document as inputs of quantum neural network classifier, and choose subjects code as outputs of quantum neural network classifier. In order to evaluate the neural network classifier, we use 2000 Web pages for training and 1000 Web pages for testing. The test result shows that the average system performance of our chinese Web information classifier is about 86.7%.

Qingjie Meng | Changqing Gong

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