The effect of delays on the performance of Layer Recurrent Network
Layer Recurrent Network (LRN) is a dynamic network that has a feedback loop as well as a delay for each layer of the network except for the last layer. The main objective for this research is to study the effect of delays on the performance of the LRN in identifying a nonlinear model. A numerical ex...
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my.uniten.dspace-306742023-12-29T15:51:11Z The effect of delays on the performance of Layer Recurrent Network Li T.C. Nordin F.H. Yap K.S. 36470545400 25930510500 24448864400 Delay Dynamic network Layer Recurrent Network (LRN) Information dissemination Network performance Delay Dynamic network Feed-back loop Input and outputs Non-linear model Numerical experiments Recurrent networks Signal processing Layer Recurrent Network (LRN) is a dynamic network that has a feedback loop as well as a delay for each layer of the network except for the last layer. The main objective for this research is to study the effect of delays on the performance of the LRN in identifying a nonlinear model. A numerical experiment of the nonlinear model is set up before a set of input and output data is collected. The collected data is then used to train the LRN. The numbers of delays at the feedback loop is manipulated and the effect of the network performance is observed where it shows that the network has the best performance when the number of delay is set to more than the default/original value (which is one). � 2010 IEEE. Final 2023-12-29T07:51:11Z 2023-12-29T07:51:11Z 2010 Conference paper 10.1109/CSPA.2010.5545274 2-s2.0-77956534328 https://www.scopus.com/inward/record.uri?eid=2-s2.0-77956534328&doi=10.1109%2fCSPA.2010.5545274&partnerID=40&md5=e4e5bdc35fa103cf80ff38b6c12f35fc https://irepository.uniten.edu.my/handle/123456789/30674 5545274 Scopus |
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Delay Dynamic network Layer Recurrent Network (LRN) Information dissemination Network performance Delay Dynamic network Feed-back loop Input and outputs Non-linear model Numerical experiments Recurrent networks Signal processing |
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Delay Dynamic network Layer Recurrent Network (LRN) Information dissemination Network performance Delay Dynamic network Feed-back loop Input and outputs Non-linear model Numerical experiments Recurrent networks Signal processing Li T.C. Nordin F.H. Yap K.S. The effect of delays on the performance of Layer Recurrent Network |
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Layer Recurrent Network (LRN) is a dynamic network that has a feedback loop as well as a delay for each layer of the network except for the last layer. The main objective for this research is to study the effect of delays on the performance of the LRN in identifying a nonlinear model. A numerical experiment of the nonlinear model is set up before a set of input and output data is collected. The collected data is then used to train the LRN. The numbers of delays at the feedback loop is manipulated and the effect of the network performance is observed where it shows that the network has the best performance when the number of delay is set to more than the default/original value (which is one). � 2010 IEEE. |
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36470545400 |
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36470545400 Li T.C. Nordin F.H. Yap K.S. |
format |
Conference paper |
author |
Li T.C. Nordin F.H. Yap K.S. |
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Li T.C. |
title |
The effect of delays on the performance of Layer Recurrent Network |
title_short |
The effect of delays on the performance of Layer Recurrent Network |
title_full |
The effect of delays on the performance of Layer Recurrent Network |
title_fullStr |
The effect of delays on the performance of Layer Recurrent Network |
title_full_unstemmed |
The effect of delays on the performance of Layer Recurrent Network |
title_sort |
effect of delays on the performance of layer recurrent network |
publishDate |
2023 |
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1806424425006891008 |
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13.222552 |