The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
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The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Dans cet article, nous décrivons une implémentation d'un système de réseau neuronal analogique avec une capacité d'apprentissage en ligne. Une règle d'apprentissage utilisant la perturbation simultanée est adoptée. Par rapport à l’utilisation de la méthode ordinaire de rétro-propagation, nous pouvons facilement implémenter la règle d’apprentissage par perturbation simultanée. Le système neuronal peut surveiller des valeurs de poids et une valeur d'erreur. Le problème OU exclusif et un problème de fonction simple sont présentés.
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Yutaka MAEDA, Toshiyuki KUSUHASHI, "An Analog Neural Network System with Learning Capability Using Simultaneous Perturbation" in IEICE TRANSACTIONS on Information,
vol. E82-D, no. 12, pp. 1627-1633, December 1999, doi: .
Abstract: In this paper, we describe an implementation of analog neural network system with on-line learning capability. A learning rule using the simultaneous perturbation is adopted. Compared with usage of the ordinary back-propagation method, we can easily implement the simultaneous perturbation learning rule. The neural system can monitor weight values and an error value. The exclusive OR problem and a simple function problem are shown.
URL: https://global.ieice.org/en_transactions/information/10.1587/e82-d_12_1627/_p
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@ARTICLE{e82-d_12_1627,
author={Yutaka MAEDA, Toshiyuki KUSUHASHI, },
journal={IEICE TRANSACTIONS on Information},
title={An Analog Neural Network System with Learning Capability Using Simultaneous Perturbation},
year={1999},
volume={E82-D},
number={12},
pages={1627-1633},
abstract={In this paper, we describe an implementation of analog neural network system with on-line learning capability. A learning rule using the simultaneous perturbation is adopted. Compared with usage of the ordinary back-propagation method, we can easily implement the simultaneous perturbation learning rule. The neural system can monitor weight values and an error value. The exclusive OR problem and a simple function problem are shown.},
keywords={},
doi={},
ISSN={},
month={December},}
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TY - JOUR
TI - An Analog Neural Network System with Learning Capability Using Simultaneous Perturbation
T2 - IEICE TRANSACTIONS on Information
SP - 1627
EP - 1633
AU - Yutaka MAEDA
AU - Toshiyuki KUSUHASHI
PY - 1999
DO -
JO - IEICE TRANSACTIONS on Information
SN -
VL - E82-D
IS - 12
JA - IEICE TRANSACTIONS on Information
Y1 - December 1999
AB - In this paper, we describe an implementation of analog neural network system with on-line learning capability. A learning rule using the simultaneous perturbation is adopted. Compared with usage of the ordinary back-propagation method, we can easily implement the simultaneous perturbation learning rule. The neural system can monitor weight values and an error value. The exclusive OR problem and a simple function problem are shown.
ER -