摘要
本文提出一种基于弹性网的模拟人工神经网络模型来解决一类几何优化问题。文中给出其数学描述，网络进化过程的定性分析。实验结果表明，该算法形象直观，且能有效地找到近似最优解。
An analog neural-type network is developed based on the elastic net approach to solve a general class ofgeometric optimization problem. A mathematical formulation is described, and then, the evolution process of the networkstates is qualitatively analyzed. Experimental results show that this algorithm can be used to find the sub-optimal solutionefficiently.
出处
《电路与系统学报》
CSCD
1999年第1期70-73,共4页
Journal of Circuits and Systems
关键词
人工神经网络
弹性网
几何优化问题
Artificial neural network, Elastic net, Geometric optimization problem.
