The Research of Classification based on Improved RBF Neural Network

摘要：

The approximation accuracy of RBF network constructed by the incremental learning algorithm to the target was not high. For function approximation or other requirements of high accuracy, such accuracy of RBF network model can not meet the requirements. We have improved this network model focused on three aspects to improve the bottleneck, and have an experiment and comparatively analyze these improvements algorithm on an UCI database, the experimental results show that the improved algorithm has better performances.

关键词： RBF neural network classification Data Mining

作者: WANG Lin-shuang ZHOU Li-juan GE Xue-bin SHI Qian

作者单位: Information Engineering College Capital Normal University Beijing, China

会议类型: 国际会议

会议名称: 第四届国际计算机新科技与教育学术会议(2009 4th International Conference on Computer Science & Education)

会议地点: 南京

会议语种:英文

页码: 792-796

在线出版日期: 2009-07-25（万方平台首次上网日期，不代表论文的发表时间）