PARALLEL DYNAMICS AND FAST LEARNING ALGORITHM FOR A COMPLEX NEURAL NETWORK
一种复合神经元网络结构的并行动力学及快速学习算法

A complex neural network (CNN) , which consists of two types of nerve cell, differing functionally from each other, is suggested. Parallel dynamics for a special architecture of CNN is derived and its stability is proved. Based on the above-mentioned result, a fast pseudo-inverse matrix learning algorithm is obtained for the CNN. The validity of the learning algorithm and the dynamical stability are confirmed by the computer simulated experiments.