摘要
从优化小波神经网络的角度出发,对两种优化模型从理论上进行建模与推导;根椐预测控制的特点,提出离散小波神经网络模型GA分层优化方法及广义小波神经网络模型优化方法与预测控制相结合的新的应用途径。仿真结果证明了该方法的有效性和可行性,能使实际工程中的预测控制结果得到优化。
To optimize the wavelet network, this paper founded models and infered it from the theory of both optimization modeling methods. According to the characteristic of the predictive control, this essay proposed the new approaches of discrete wavelet neural network model stratification of GA optimize method and extended wavelet neural network model optimize method for the application of predictive control. Simulation results prove which is effective and feasible, and the proposed method can optimize the result of the predictive control in the actual project.
出处
《计算机应用研究》
CSCD
北大核心
2007年第3期191-193,共3页
Application Research of Computers
基金
国家自然科学基金资助项目(10372087)
湖南省省科技厅重点资助项目(03JZY1002
04FJ2005)
关键词
小波神经网络
优化
预测控制
wavelet neural network（WNN）
optimization
predictive control
