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
Neste artigo, descrevemos uma implementação de sistema de rede neural analógica com capacidade de aprendizagem on-line. Uma regra de aprendizagem utilizando a perturbação simultânea é adotada. Comparado com o uso do método de retropropagação comum, podemos implementar facilmente a regra de aprendizagem de perturbação simultânea. O sistema neural pode monitorar valores de peso e um valor de erro. O problema OR exclusivo e um problema de função simples são mostrados.
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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 -