将人工神经网络技术应用于集装箱船舶配载方案评价,建立了集装箱船舶配载方案评价的Hopfield神经网络模型.该模型首先建立配载方案评价指标与标准类别体系(即配载方案的级别,如优,良,…),以标准类别为记忆模式,将待评价方案作为联想回忆的噪声模式,当网络达到平衡点时其lyapunov函数达到极小值,对应待评价方案的类别等级.此方法为集装箱船舶配载方案优选提供了一种实用的模型. The artificial neural network technology is applied to evaluate the stowage plan of container ships and a Hopfield neural network model for evaluating stowage plan of container ships is established.The model first establishes the evaluation index and standard category system of stowage plan (ie, the stowage plan level, Excellent, good, ...), the standard category for the memory mode, the program to be evaluated as the recall of the noise model, when the network reaches its equilibrium point lyapunov function reaches a minimum value, corresponding to the classification scheme to be evaluated. This method is Container ship loading program optimization provides a practical model.