A Method of Learning for Multi-Layer Networks
Summary :
A method of learning for multi-layer artificial neural networks is proposed. The learning model is designed to provide an effective means of escape from the Backpropagation local minima. The system is shown to escape from the Backpropagation local minima and be of much faster convergence than simulated annealing techniques by simulations on the exclusive-or problem and the Arabic numerals recognition problem.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E85-A No.2 pp.522-525
- Publication Date
- 2002/02/01
- Publicized
- Online ISSN
- DOI
- Type of Manuscript
- LETTER
- Category
- Neural Networks and Bioengineering
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Zheng TANG, Xu Gang WANG, "A Method of Learning for Multi-Layer Networks" in IEICE TRANSACTIONS on Fundamentals,
vol. E85-A, no. 2, pp. 522-525, February 2002, doi: .
Abstract: A method of learning for multi-layer artificial neural networks is proposed. The learning model is designed to provide an effective means of escape from the Backpropagation local minima. The system is shown to escape from the Backpropagation local minima and be of much faster convergence than simulated annealing techniques by simulations on the exclusive-or problem and the Arabic numerals recognition problem.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/e85-a_2_522/_p
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@ARTICLE{e85-a_2_522,
author={Zheng TANG, Xu Gang WANG, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={A Method of Learning for Multi-Layer Networks},
year={2002},
volume={E85-A},
number={2},
pages={522-525},
abstract={A method of learning for multi-layer artificial neural networks is proposed. The learning model is designed to provide an effective means of escape from the Backpropagation local minima. The system is shown to escape from the Backpropagation local minima and be of much faster convergence than simulated annealing techniques by simulations on the exclusive-or problem and the Arabic numerals recognition problem.},
keywords={},
doi={},
ISSN={},
month={February},}
Copy
TY - JOUR
TI - A Method of Learning for Multi-Layer Networks
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 522
EP - 525
AU - Zheng TANG
AU - Xu Gang WANG
PY - 2002
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E85-A
IS - 2
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - February 2002
AB - A method of learning for multi-layer artificial neural networks is proposed. The learning model is designed to provide an effective means of escape from the Backpropagation local minima. The system is shown to escape from the Backpropagation local minima and be of much faster convergence than simulated annealing techniques by simulations on the exclusive-or problem and the Arabic numerals recognition problem.
ER -
English
