Satisfiability Problem Solver by Hysteresis Neural Networks

摘要：

In this paper, we propose novel systems to solve Satisfiability problem. Our proposing system is one of the artificial neural networks named Hysteresis Neural Networks. Though this system has applied to some problems so far, these problems are not so complicated and have few applicable fields. We propose the way to apply this system into the satisfiability problem and give considerations to the phenomena.

作者: Toshiya Nakaguchi Kenya Jinno Mamoni Tanaka

作者单位: Sophia University, Tokyo, 102-8554, Japan Nippon Institute of Technology, Saitama, 345-8501, Japan

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: 1499-1503

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）