DocumentCode
329046
Title
A back-propagation algorithm for complex numbered neural networks
Author
Nitta, Tohru
Author_Institution
Electrotech. Lab., Ibaraki, Japan
Volume
2
fYear
1993
fDate
25-29 Oct. 1993
Firstpage
1649
Abstract
This paper introduces a complex numbered version of the backpropagation algorithm, which can be applied to neural networks whose weights, threshold values, input and output signals are all complex numbers. This new algorithm can be used to learn complex numbered patterns in a natural way. We show that "complex-BP" can transform geometrical figures.
Keywords
backpropagation; computational geometry; neural nets; pattern classification; transforms; backpropagation algorithm; complex numbered neural networks; complex numbers; geometrical figures; input and output signals; pattern learning; threshold values; weights; Cities and towns; Equations; Joining processes; Laboratories; Multi-layer neural network; Neural networks; Neurons;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 1993. IJCNN '93-Nagoya. Proceedings of 1993 International Joint Conference on
Print_ISBN
0-7803-1421-2
Type
conf
DOI
10.1109/IJCNN.1993.716968
Filename
716968
Link To Document