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Effect of sinusoidal function on backpropagation learning
Resource type
Authors/contributors
- Karimi, B. (Author)
- Ashenayi, K. (Author)
- Seyed, T.B. (Author)
Title
Effect of sinusoidal function on backpropagation learning
Abstract
The backpropagation method is modified by replacing sigmoid function by sinusoidal function. The leaving law is also modified. The modified procedure shows great improvement over the original BP in terms of the number of neurons and the learning time. © 1992 IEEE.
Proceedings Title
Proceedings of the 25th Annual Symposium on Simulation, ANSS 1992
Publisher
Association for Computing Machinery
Date
1992
Pages
9-12
ISBN
0818627654 (ISBN); 9780818627651 (ISBN)
Citation Key
karimiEffectSinusoidalFunction1992
Archive
Scopus
Language
English
Extra
0 citations (Crossref) [2023-10-31]
Journal Abbreviation: Proc. Annu. Symp. Simul., ANSS
Citation
Karimi, B., Ashenayi, K., & Seyed, T. B. (1992). Effect of sinusoidal function on backpropagation learning. Proceedings of the 25th Annual Symposium on Simulation, ANSS 1992, 9–12. Scopus. https://doi.org/10.1109/simsym.1992.227582
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