Abstract: Weights-determination is an important issue in the research of artificial neural networks.The traditional PID neurons’ network adopts mostly the standard error Back-Propagation（BP） algorithm which obtains the connecting weights via iterative training.In contrast，a pseudo-inverse based method is proposed，which could directly determine the neural-network weights just in one step without iterative BP training.Computer-simulation results show that this weights-direct-determination method could be more efficient and effective than standard BP-training algorithms.

Key words: PID neurons’ network, weights-direct-determination, system identification, pseudo-inverse

摘要： 网络权值如何确定，是人工神经网络研究中的一个重要课题。传统PID神经元网络在该问题的研究上，大多数采用误差回传（BP）的思想，通过迭代训练而估算出该网络的连接权值。针对PID神经元网络，对其进行简单巧妙的转化，可提出一种基于矩阵伪逆表述的直接计算权值的方法，从而避免了冗长的迭代训练过程。计算机仿真结果表明，该权值直接确定方法不仅有更快的学习/计算速度，而且能达到更高的计算精度。

关键词: PID神经元网络, 权值直接确定, 系统辨识, 矩阵伪逆