论文部分内容阅读
本文给出了一种适用于控制的自适应神经元模型及其学习策略,设计出了使用这种自适应神经元的网络智能控制系统,提出了神经元网络系统的预测和滤波控制学习算法,并分析了系统的学习控制机理,此方法的有效性和优点得到仿真实验的证明。
In this paper, an adaptive neuron model suitable for control and its learning strategies are given. A network intelligent control system using this adaptive neuron is designed. The algorithm of neural network prediction and filtering control learning is proposed. And analyzes the learning control mechanism of the system. The effectiveness and advantages of this method are proved by simulation experiments.