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 informatioa classifier is about 86.7%.
web information classifying neural network
Qingjie Meng Changqing Gong
Library Shenyang Aerospace University Shenyang, China College of Computer Shenyang Aerospace University Shenyang, China
国际会议
2010 2nd International Conference on Signal Processing System(2010年信号处理系统国际会议 ICSPS 2010)
大连
英文
1271-1273
2010-07-05(万方平台首次上网日期,不代表论文的发表时间)