IEICE TRANSACTIONS on Fundamentals
Multilayer Network Learning Algorithm Based on Pattern Search Method
Summary :
A new multilayer artificial neural network learning algorithm based on the pattern search method is proposed. The learning algorithm is designed to provide a very simple and effective means of searching the minima of an objective function directly without any knowledge of its derivatives. We test this algorithm on benchmark problems, such as exclusive-or (XOR), parity and alphabetic character learning problems. For all problems, the systems are shown to be trained efficiently by our algorithm. As a simple direct search algorithm, it can be applied to hardware implementations easily.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E86-A No.7 pp.1869-1875
- Publication Date
- 2003/07/01
- Publicized
- Online ISSN
- DOI
- Type of Manuscript
- PAPER
- Category
- Neural Networks and Bioengineering
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Xu-Gang WANG, Zheng TANG, Hiroki TAMURA, Masahiro ISHII, "Multilayer Network Learning Algorithm Based on Pattern Search Method" in IEICE TRANSACTIONS on Fundamentals,
vol. E86-A, no. 7, pp. 1869-1875, July 2003, doi: .
Abstract: A new multilayer artificial neural network learning algorithm based on the pattern search method is proposed. The learning algorithm is designed to provide a very simple and effective means of searching the minima of an objective function directly without any knowledge of its derivatives. We test this algorithm on benchmark problems, such as exclusive-or (XOR), parity and alphabetic character learning problems. For all problems, the systems are shown to be trained efficiently by our algorithm. As a simple direct search algorithm, it can be applied to hardware implementations easily.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/e86-a_7_1869/_p
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@ARTICLE{e86-a_7_1869,
author={Xu-Gang WANG, Zheng TANG, Hiroki TAMURA, Masahiro ISHII, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Multilayer Network Learning Algorithm Based on Pattern Search Method},
year={2003},
volume={E86-A},
number={7},
pages={1869-1875},
abstract={A new multilayer artificial neural network learning algorithm based on the pattern search method is proposed. The learning algorithm is designed to provide a very simple and effective means of searching the minima of an objective function directly without any knowledge of its derivatives. We test this algorithm on benchmark problems, such as exclusive-or (XOR), parity and alphabetic character learning problems. For all problems, the systems are shown to be trained efficiently by our algorithm. As a simple direct search algorithm, it can be applied to hardware implementations easily.},
keywords={},
doi={},
ISSN={},
month={July},}
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TY - JOUR
TI - Multilayer Network Learning Algorithm Based on Pattern Search Method
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1869
EP - 1875
AU - Xu-Gang WANG
AU - Zheng TANG
AU - Hiroki TAMURA
AU - Masahiro ISHII
PY - 2003
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E86-A
IS - 7
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - July 2003
AB - A new multilayer artificial neural network learning algorithm based on the pattern search method is proposed. The learning algorithm is designed to provide a very simple and effective means of searching the minima of an objective function directly without any knowledge of its derivatives. We test this algorithm on benchmark problems, such as exclusive-or (XOR), parity and alphabetic character learning problems. For all problems, the systems are shown to be trained efficiently by our algorithm. As a simple direct search algorithm, it can be applied to hardware implementations easily.
ER -
English
