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".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Masa dianggap sebagai faktor penting dalam pemodelan dan operasi sistem dinamik. Walau bagaimanapun, beberapa kajian telah mempertimbangkan faktor masa dalam pemodelan dan inferens peta kognitif kabur (FCM), selain itu, tiada kajian telah menangani kelewatan masa dalam pembelajaran FCM. Oleh itu, kami mencadangkan peraturan pembelajaran untuk FCM temporal yang melibatkan masa pasca dan pra-penangguhan dengan melanjutkan peraturan pembelajaran Oja. Kami menunjukkan keberkesanan peraturan yang dicadangkan melalui simulasi yang menyelesaikan masalah kawalan loji kimia tertunda masa.
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Salinan
In Keun LEE, Soon Hak KWON, "Learning Rule for Time Delay in Fuzzy Cognitive Maps" in IEICE TRANSACTIONS on Information,
vol. E93-D, no. 11, pp. 3153-3157, November 2010, doi: 10.1587/transinf.E93.D.3153.
Abstract: Time is considered as an important factor in modeling and operation of dynamic systems. However, few studies have considered time factor in modeling and inference of fuzzy cognitive maps (FCMs), besides, no studies have dealt with time delay in learning of FCMs. Therefore, we propose a learning rule for temporal FCMs involving post- and pre-delay time by extending Oja's learning rule. We show the effectiveness of the proposed rule through simulations which solve a time-delayed chemical plant control problem.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.E93.D.3153/_p
Salinan
@ARTICLE{e93-d_11_3153,
author={In Keun LEE, Soon Hak KWON, },
journal={IEICE TRANSACTIONS on Information},
title={Learning Rule for Time Delay in Fuzzy Cognitive Maps},
year={2010},
volume={E93-D},
number={11},
pages={3153-3157},
abstract={Time is considered as an important factor in modeling and operation of dynamic systems. However, few studies have considered time factor in modeling and inference of fuzzy cognitive maps (FCMs), besides, no studies have dealt with time delay in learning of FCMs. Therefore, we propose a learning rule for temporal FCMs involving post- and pre-delay time by extending Oja's learning rule. We show the effectiveness of the proposed rule through simulations which solve a time-delayed chemical plant control problem.},
keywords={},
doi={10.1587/transinf.E93.D.3153},
ISSN={1745-1361},
month={November},}
Salinan
TY - JOUR
TI - Learning Rule for Time Delay in Fuzzy Cognitive Maps
T2 - IEICE TRANSACTIONS on Information
SP - 3153
EP - 3157
AU - In Keun LEE
AU - Soon Hak KWON
PY - 2010
DO - 10.1587/transinf.E93.D.3153
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E93-D
IS - 11
JA - IEICE TRANSACTIONS on Information
Y1 - November 2010
AB - Time is considered as an important factor in modeling and operation of dynamic systems. However, few studies have considered time factor in modeling and inference of fuzzy cognitive maps (FCMs), besides, no studies have dealt with time delay in learning of FCMs. Therefore, we propose a learning rule for temporal FCMs involving post- and pre-delay time by extending Oja's learning rule. We show the effectiveness of the proposed rule through simulations which solve a time-delayed chemical plant control problem.
ER -