Artificial Neural Networks In Data Mining Applications

Based on the analysis of all kinds of DM (data mining) technology, this paper has researched the application of ANN (artificial neural network) in DM and has developed an experiment plafform based on Data Mining. The data except for text data in the Relational Database are mined by this plafform. During the design, data preparative and neural network parameter in DM is discussed mainly. To the existed problem of standard BP arithmetic (inefficient and easy getting into local minimum), an improved BP arithmetic is put forward in this paper. And the adjusted frequency and study efficiency of this arithmetic is advanced in stress. Paper has reasoned it not only in theories, but also in experiments (using the math logic problem, ND?and OR?problem). Experiments results show that the improved BP arithmetic has shorted the study time, improved the study efficiency and averted from getting into local minimum in some degree. The results of instances test indicate this DM platform is capable of obtaining the prediction function in Data Mining and has a friendly interface, handy operates, etc.