Representation of complex-valued neural networks: A real-valued approach

被引：9
|
作者：
Yadav, A [1 ]
Mishra, D [1 ]
Ray, S [1 ]
Yadav, RN [1 ]
Kalra, PK [1 ]
机构：
[1] Indian Inst Technol, Dept Elect Engn, Kanpur 208016, Uttar Pradesh, India
来源：
2005 International Conference on Intelligent Sensing and Information Processing, Proceedings | 2005年
关键词：
backpropagation; complex-valued neural network; real-valued neural network; complex nonlinear bounded activation function;
D O I：
10.1109/ICISIP.2005.1529471
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
A methodology for representing a complex-valued multilayer artificial neural network and its back-propagation learning algorithm in terms of real-valued neural network has been discussed. The performance of the proposed method has been tested on complex-valued XOR problem and power system load flow problems.
引用
收藏
页码：331 / 335
页数：5
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