An improved Levenberg-Marquardt learning algorithm for neural networks based on terminal attractors

Batbayar, B and Yu, X 2008, 'An improved Levenberg-Marquardt learning algorithm for neural networks based on terminal attractors', in Zho Yang Dong (ed.) 2008 International Symposium on Systems and Control in Aerospace and Aeronautics, Shenzhen, China, 10-12 December, 2008, pp. 1-4.


Document type: Conference Paper
Collection: Conference Papers

Title An improved Levenberg-Marquardt learning algorithm for neural networks based on terminal attractors
Author(s) Batbayar, B
Yu, X
Year 2008
Conference name 2nd International Symposium on Systems and Control in Aerospace and Aeronautics
Conference location Shenzhen, China
Conference dates 10-12 December, 2008
Proceedings title 2008 International Symposium on Systems and Control in Aerospace and Aeronautics
Editor(s) Zho Yang Dong
Publisher IEEE
Place of publication China
Start page 1
End page 4
Total pages 4
Abstract In this paper, an improved Levenberg-Marquardt learning algorithm based on terminal attractors for feedforward neural networks is proposed. The effectiveness of the proposed algorithm in improving learning speed is shown by the simulation results.
Subjects Calculus of Variations, Systems Theory and Control Theory
Neural, Evolutionary and Fuzzy Computation
Keyword(s) Improving learning
Levenberg-Marquardt learning algorithms
Simulation result
Terminal attractors Engineering controlled terms: Education
Learning algorithms
Learning systems Engineering main heading: Feedforward neural networks
DOI - identifier 10.1109/ISSCAA.2008.4776198
ISBN 9781424439089
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