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

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, 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	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
ISBN	9781424439089

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