Web Data Mining Based on Modified Neural Network
Li Xu · Jisuanji fangzhen · 2008
Artificial neural network is a simulated brain processing net system based on modern neural biologic research. It can not only process ordinary numeric data, but also has the ability of processing knowledge, learning and memorization. Procedure of data mining based on neural networks consists of three steps: data preparation, rule extraction and rule evaluation. This paper discusses two kinds of rule extracting algorithms, namely pedagogical and decompositional algorithms. This procedure is to simplify the structure of the network, reduce the number of input nodes. At last, this paper has proved the effectiveness of this method.