The Design Algorithm of an Associative Memory Neural Network

摘要：

A design algorithm of an associative memory neural network is proposed. The benefit of this design algorithm is to make the designed associative memory model can implement the hoped situation. On the one hand, the designed model has realized the nonlinear association of infinite value pattern from n dimension space to m dimension space. The result has improved the ones of some old associative memory neural network. On the other hand, the memory samples are in the centers of the fault-tolerant. In average significance the radius of the memory sample fault-tolerant field is maximum.

作者: Guowei Yang Yixin Lai Shoujue Wang Xuhui Gao

作者单位: Institute of Pattern Recognition and Intelligent System Qingdao University Qingdao, P.R. China 26607 Institute of Pattern Recognition and Intelligent System Qingdao University Qingdao, P.R. China 26607 Laboratory of Artificial Neural Network Institute of Semiconductors Chinese Academy of Sciences Beij

会议类型: 国际会议

会议名称: 第三届国际脉冲动力系统及应用学术会议

会议地点: 青岛

会议语种:英文

在线出版日期: 2006-07-21（万方平台首次上网日期，不代表论文的发表时间）