DocumentCode :
1842687
Title :
Curved search algorithm for neural network learning
Author :
Wu, Peitsang ; Fang, Shu-Cherng ; Nuttle, Henry L W
Author_Institution :
Dept. of Ind. Manage., I-Shou Univ., Kaohsiung, Taiwan
Volume :
3
fYear :
1999
fDate :
1999
Firstpage :
1733
Abstract :
In this paper we present a new learning method of back propagation training algorithms for neural networks. With the objective of reducing training time, we introduce a curved search method with a fixed step size for determining weight adjustments. Computational results indicate a strong potential for significant reduction in training time
Keywords :
backpropagation; computational complexity; multilayer perceptrons; search problems; back propagation training algorithms; backpropagation training algorithms; curved search algorithm; fixed step size; neural network learning; training time reduction; weight adjustments; Engineering management; Feedforward neural networks; Industrial training; Learning systems; Management training; Multi-layer neural network; Neural networks; Neurons; Newton method; Search methods;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks, 1999. IJCNN '99. International Joint Conference on
Conference_Location :
Washington, DC
ISSN :
1098-7576
Print_ISBN :
0-7803-5529-6
Type :
conf
DOI :
10.1109/IJCNN.1999.832638
Filename :
832638
Link To Document :
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