Analysis and Application of Data Mining Based on Clustering Algorithm

摘要：

　　As the ART2 neural network clustering occurs normalization in the data inputting mode by vector and nonlinear transformation pretreatment process is easy to be filtered as a substrate for an important,but a minor component of the noise,while there are still phenomenon of the drift mode in the learning process due to the correction of the value of weight,this paper proposes an improved method of ART2 neural network.On the one hand,as the inputting mode enters into the network to start learning,in the learning process of the input mode to enter the network,it saves their amplitude information,relaxes negative real nonlinear conversion,and considers the shortest distance of the input pattern to each cluster center.; on the other hand,there is also a need to make the corresponding treatment on the non-linear transfer function,so that it can properly handle the input of negative and retains its negative form after the stable F1 layer,not causing loss of information in the inputting mode; in another aspect,in order to eliminate outliers’ influence on clustering results,this paper also carried out on the input mode to determine outliers.

关键词： Soccer Robot Mechanical Analysis Optimal Design

作者: LAI Honghui LAI Xiao tao

作者单位: Faculty of Information Engineering,Gannan Medical University,Jiangxi GanZhou,341000,China

会议类型: 国际会议

会议名称: 2015 Information Technology and Mechatronics Engineering Conference (ITOEC 2015)(2015信息技术与机电一体化国际会议)

会议地点: 重庆

会议语种:英文

页码: 129-133

在线出版日期: 2015-03-28（万方平台首次上网日期，不代表论文的发表时间）