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
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;
Conference_Titel :
Neural Networks, 1996., IEEE International Conference on
Conference_Location :
Washington, DC
Print_ISBN :
0-7803-3210-5
DOI :
10.1109/ICNN.1996.549254
