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利用改进的Ｈｏｐｆｉｅｌｄ人工神经网络模型，提出了用于求解ＶＬＳＩ系统单元布局的优化 算法。该算法具有简单的能量函数表达式，较快的收敛速度，可避免无效解。利用此算法对于６ 种较复杂的布局实例进行运算，在布局优化结果和运算速度方面都比同类研究有较大改进。
Using the improved Hopfield artificial neural network model, an optimization algorithm for solving the unit layout of VLSI system was proposed. The algorithm has a simple energy function expression, faster convergence rate, to avoid invalid solution. Using this algorithm to calculate six kinds of more complex layout examples, there are more improvements than other researches in layout optimization results and operation speed.