【摘要】 基于ＳＣＮＮ，提出了一个解有限元总刚方程的神经网络模型和实施方案．计算实例表明，基于ＳＣＮＮ的计算结果令人满意，计算时间为电路时常数数量级，可用于复杂工程结构和复杂力学行为的分析与计算更多还原

【Abstract】 Based on the SCNN (Structural Controlled Neural Networks), a new model used to solve the total stiffness equations was proposed, and the architecture of the neural networks applied was discussed. An example shows that the computational conclusion is in agreement with the real solutions, the consumed time is in an elapsed time of the circuit time constant(ns). It can be widely used in analysis and computation of the complex mechanical behavior.更多还原