基于优化神经网络模型的系统建模仿真研究

建立一个结构优化的系统模型是设计控制系统的基础,但对于实际系统尤其是非线性系统一般没有统一表达形式,其模型结构难以构造,对其结构优化难以实施,给非线性系统建模带来很大困难.为此,基于神经网络理论,分析了非线性系统的神经网络模型并对其神经网络模型结构进行仿真研究.基于OBS (Optimal Brain Surgeon)优化策略,对初始神经网络模型结构进行优化操作,进而获得结构优化的神经网络模型并对非线性系统的建模进行仿真.仿真结果表明,优化的神经网络模型对非线性系统的建模效果是良好的,其模型的泛化能力亦得到增强.

Simulation Research on the System Modeling Based on the Optimized Neural Network Model

It is the basis for designing control system to model structure optimization system's model.As a result of no unification expression form for physical system especially nonlinear system,its structure and optimization was determined with difficulty,and made it very difficulty to model.Therefore,based on neural network theory,it was analyzed to neural network model for nonlinear system,and simulation research of the neural network model structure was done.Based on Optimal Brain Surgeon(OBS),it was optimized t...