基本信息:
- 专利标题： 基于函数链神经网络的电磁兼容预测方法
- 专利标题（英）：Electromagnetic compatibility forecasting method based on function link neural network
- 申请号：CN201210257617.2 申请日：2012-07-24
- 公开(公告)号：CN102855346A 公开(公告)日：2013-01-02
- 发明人： 沈文 , 邓辉 , 侯功 , 王玮 , 奚后玮 , 吴军民 , 张刚 , 黄在朝 , 黄辉 , 刘川 , 吴鹏 , 陈磊 , 于海 , 虞跃 , 姚启桂
- 申请人： 中国电力科学研究院 , 国家电网公司
- 申请人地址： 北京市海淀区清河小营东路15号
- 专利权人： 中国电力科学研究院,国家电网公司
- 当前专利权人： 中国电力科学研究院,全球能源互联网研究院,国家电网公司
- 当前专利权人地址： 北京市海淀区清河小营东路15号
- 代理机构： 北京安博达知识产权代理有限公司
- 代理人： 徐国文
- 主分类号： G06F17/50
- IPC分类号： G06F17/50 ; G06N3/02
The invention provides an electromagnetic compatibility forecasting method based on a function link neural network. The method comprises the following steps of: (1) taking n times of signal radiation strength statistical data as an initial input' (2) expanding one-dimensional data of the initial input to be two-dimensional data to obtain an input m of a two-dimensional function link neural network; (3) calculating a weight value of the function link neural network to obtain a forecasting function f(y'); and (4) according to the forecasting function, forecasting the electromagnetic compatibility between electrical elements. By the electromagnetic compatibility forecasting method based on the function link neural network, the dimension of the input part is expanded, and the conventional nonlinear problem is converted into a linear problem, so that the shortcomings of the conventional gradient search algorithm can be well overcome; and the problems of relatively complicated and troublesome multi-layer calculation of the BP neural network are solved.
公开/授权文献:
- CN102855346B 基于函数链神经网络的电磁兼容预测方法 公开/授权日：2014-04-23