A DIRECTION-SELECTIVE IMPOSING LEARNING MODEL IN NEURAL NETWORK
选择方向强化学习的神经网络模型

This paper presents a new direction-selective imposing learning model in a neural network. The screening curve is defined. The differences between curve of new model and that of Hopfield model show the stroger ability of new model to resolve patterns than that of Hopfield model. When the new model consisting of 100 neurons was simulated on microcomputer, the results display that new model owns such neurophysiological property as repetitive memory. The memory intensity factor is defined and discussed. The simulation results demonstrated that the stronger the memory intensity, the hetter the associative performance and the shorter the training cycle.