STEADY STATE SOLUTIONS OF A TOROIDAL NEURAL NETWORK VIA A MOUNTAIN PASS THEOREM

• 来源期刊: 微分方程年刊：英文版
• 学科: 数学
• 年，卷（期）: 2006,（3）
• 页码范围: 360-363
• 页数: 4页
• 分类号: O17

摘要

A discrete temporal-spatio artificial neural network is defined and is shown to have steady state solutions by a mountain pass theorem in critical point theory.