DocumentCode
3598018
Title
A constructive algorithm for feedforward neural networks
Author
Xu, Jinhua ; Ho, Daniel W. C. ; Zheng, Yufan
Author_Institution
Inst. of Syst. Sci., East China Normal Univ., Shanghai, China
Volume
1
fYear
2004
Firstpage
659
Abstract
In this paper, a training and pruning algorithm is proposed for feedforward neural networks based on Jacobian rank deficiency. Redundant nodes are pruned during the training process, and computational cost of the training algorithm is reduced significantly. Simulations are presented to demonstrate the effectiveness of the proposed approach.
Keywords
Jacobian matrices; feedforward neural nets; learning (artificial intelligence); Jacobian rank deficiency; computational cost; constructive algorithm; feedforward neural networks; pruning algorithm; training algorithm; Computational efficiency; Computational modeling; Feedforward neural networks; Heuristic algorithms; Jacobian matrices; Mathematics; Network topology; Neural networks; Pursuit algorithms; Redundancy;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Conference, 2004. 5th Asian
Print_ISBN
0-7803-8873-9
Type
conf
Filename
1426025
Link To Document