Shape Control Learning Algorithm for Neural Networks

摘要：

　　A new kind of shape control learning algorithm (SCLA) for training neural networks is proposed.We use the rational cubic spline (with quadratic denominator) to implement a new neural system for shape control,and construct a new kind of artificial neural networks based on given patterns.The shape can be controlled by some shape parameters,which is much different from the known algorithms for training neural networks.The numerical experiments indicate that the new method proposed in this paper demonstrates good results.

关键词： neural network weight function rational spline shape control

作者: Daiyuan Zhang

作者单位: College of Computer,Nanjing University of Posts and Telecommunications,Nanjing,210003,P.R.China

会议类型: 国际会议

会议名称: 2013 2nd International Conference on Computer Science and Electronics Engineering(ICCSEE2013)(2013年第二届计算机科学与电子工程国际会议)

会议地点: 杭州

会议语种:英文

页码: 2469-2472

在线出版日期: 2013-03-22（万方平台首次上网日期，不代表论文的发表时间）