New Comprehensive Learning Method Based on LM-QuasiNewton
Algorithm Applying for Feed-Forward Neural Network

XUJin

Volume 17 Issue 5

Oct. 2004

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Article Contents

Journal of Southwest Jiaotong University > 2004 > 17(5): 675-679.

XUJin. New Comprehensive Learning Method Based on LM-QuasiNewtonAlgorithm Applying for Feed-Forward Neural Network[J]. Journal of Southwest Jiaotong University, 2004, 17(5): 675-679.

Citation:

XUJin. New Comprehensive Learning Method Based on LM-QuasiNewton Algorithm Applying for Feed-Forward Neural Network[J]. Journal of Southwest Jiaotong University, 2004, 17(5): 675-679.

XUJin. New Comprehensive Learning Method Based on LM-QuasiNewtonAlgorithm Applying for Feed-Forward Neural Network[J]. Journal of Southwest Jiaotong University, 2004, 17(5): 675-679.

Citation:

XUJin. New Comprehensive Learning Method Based on LM-QuasiNewton Algorithm Applying for Feed-Forward Neural Network[J]. Journal of Southwest Jiaotong University, 2004, 17(5): 675-679.

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New Comprehensive Learning Method Based on LM-QuasiNewton Algorithm Applying for Feed-Forward Neural Network

XUJin

Publish Date: 25 Oct 2004

Abstract

Abstract

To solve the large residual problems which may occur during weight training, QuasiNewton algorithm was combined with Levernberg-Marquardt algorithm to form a new comprehensive learning algorithm, named LM-QuasiNewton, for feed-forward neural networks. Simulation shows that LM- QuasiNewton algorithm can effectively solve large residual problems with better convergence and stability compared with otherweight learning algorithms.
- feed-forward,
- neural networks,
- convergence,
- QuasiNewton algorithm,
- Levernberg-Marquardt algorithm,
- residual problem