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

conference contribution
posted on 2024-10-31, 21:01 authored by Batsukh Batbayar, Xinghuo YuXinghuo Yu
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.

History

Related Materials

  1. 1.
    DOI - Is published in 10.1109/ISSCAA.2008.4776198
  2. 2.
    ISBN - Is published in 9781424439089 (urn:isbn:9781424439089)

Start page

1

End page

4

Total pages

4

Outlet

2008 International Symposium on Systems and Control in Aerospace and Aeronautics

Editors

Zho Yang Dong

Name of conference

2nd International Symposium on Systems and Control in Aerospace and Aeronautics

Publisher

IEEE

Place published

China

Start date

2008-12-10

End date

2008-12-12

Language

English

Former Identifier

2006009705

Esploro creation date

2020-06-22

Fedora creation date

2011-07-21

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    Scholarly Works

    Categories

    Keywords

    Improving learningLearning algorithmsLearning systems Engineering main heading: Feedforward neural networksLevenberg-Marquardt learning algorithmsSimulation resultTerminal attractors Engineering controlled terms: Education

    Licence

    All rights reserved

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