摘要
提出了利用ＨＯＰＰＩＥＬＤ神经网络解决图论中交叉数问题的一种算法，并运用该算法实现了电力系统中潮流及阻抗图的自动生成。还提出了利用逻辑坐标系生成、输出超大幅面图形的技术。
The poper proposes an efficient algorithm based on HOPFIELD neural networksto solve the crossing numbers problem of graph theory,and with the algorithm we successfully realized the automatic generation of electric power system tidal current and impedance charts.A technique using logic coordinate system to create,export very large scale graph is introduced in addition.
出处
《重庆大学学报（自然科学版）》
CAS
CSCD
1996年第3期84-89,共6页
Journal of Chongqing University
关键词
潮流图
神经网络
交叉数
电力系统
阻抗图
s:tidal current charts
impedance
neural networks / crossing numbers
