Reconfiguration Algorithm for Degradable VLSI/WSI Arrays Based on Neural Networks

摘要：

A neural network approach for degradable VLSI/WSI arrays reconfiguration on Hopfield network is proposed on the basis of bipartite graph of fault element. The problem is mapped onto Hopfield network, thus the problem of arrays reconfiguration is solved. The experimental results show that neural network method is an effective algorithm compared with heuristics algorithm.

作者: Gaolin Xujin

作者单位: National Key Lab.of Radar Signal Processing,Xidian Univ .,Xian China ,710071 Department of Control Science and Engineering, HUST, Wuhan China, 430074

会议类型: 国际会议

会议名称: 8th International Conference on Neural Information Processing(ICONIP 2001)(第八届国际神经信息处理大会)

会议地点: 上海

会议语种:英文

页码: 1615-1618

在线出版日期: 2001-11-14（万方平台首次上网日期，不代表论文的发表时间）