DocumentCode
2752565
Title
Two point training for complex plane transformation
Author
Song, Jingyan ; Yam, Yeung
Author_Institution
Dept. of Mech. & Autom. Eng., Chinese Univ. of Hong Kong, Shatin, Hong Kong
Volume
4
fYear
1996
fDate
3-6 Jun 1996
Firstpage
2266
Abstract
The complex neural network whose weights, threshold values, inputs and outputs signals are all complex variables is studied in this paper. It is shown that using a training set of only two points in the complex plane, the complex neural network can realize complex plane transformation for all points in the plane
Keywords
backpropagation; feedforward neural nets; transforms; backpropagation; complex activation function; complex plane transformation; multilayer neural networks; two point training; Algorithm design and analysis; Automation; Backpropagation algorithms; Least squares approximation; Multi-layer neural network; Neural networks; Neurons; Signal processing; Signal processing algorithms; Zirconium;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 1996., IEEE International Conference on
Conference_Location
Washington, DC
Print_ISBN
0-7803-3210-5
Type
conf
DOI
10.1109/ICNN.1996.549254
Filename
549254
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