DocumentCode
296492
Title
Training multilayer feedforward neural networks using dynamic programming
Author
Sun, M.
Author_Institution
Dept. of Math., Alabama Univ., Tuscaloosa, AL, USA
fYear
1996
fDate
31 Mar-2 Apr 1996
Firstpage
163
Lastpage
167
Abstract
The dynamic programming method is implemented as an alternative supervised training algorithm for designing multilayer feedforward artificial neural networks. The author demonstrates its feasibility and competitiveness by two examples. It helps to set a stage for further research and applications
Keywords
dynamic programming; feedforward neural nets; learning (artificial intelligence); multilayer perceptrons; competitiveness; dynamic programming; multilayer feedforward neural networks; supervised training algorithm; Algorithm design and analysis; Artificial neural networks; Computer networks; Dynamic programming; Feedforward neural networks; Multi-layer neural network; Neural networks; Neurons; Optimization methods; Sun;
fLanguage
English
Publisher
ieee
Conference_Titel
System Theory, 1996., Proceedings of the Twenty-Eighth Southeastern Symposium on
Conference_Location
Baton Rouge, LA
ISSN
0094-2898
Print_ISBN
0-8186-7352-4
Type
conf
DOI
10.1109/SSST.1996.493491
Filename
493491
Link To Document