Off-season supply forecasting in Thai longan supply chain with artificial neural network

Off-season supply forecasting in Thai longan supply chain with artificial neural network

This paper presented the application of artificial neural networks (ANNs) in forecasting amount of off season longan. With their ability to discover patterns in nonlinear and chaotic systems, ANNs offer the ability to predict off season longan supply more accurately than any current techniques. Thre...

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Main Authors: Leksakul,K., Sopadang,A.
Format: Article
Published: Chiang Mai University 2015
Subjects:
Multidisciplinary
Online Access:http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=84872244682&origin=inward
http://cmuir.cmu.ac.th/handle/6653943832/39007
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Institution: Chiang Mai University
id th-cmuir.6653943832-39007
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spelling th-cmuir.6653943832-390072015-06-16T08:01:08Z Off-season supply forecasting in Thai longan supply chain with artificial neural network Leksakul,K. Sopadang,A. Multidisciplinary This paper presented the application of artificial neural networks (ANNs) in forecasting amount of off season longan. With their ability to discover patterns in nonlinear and chaotic systems, ANNs offer the ability to predict off season longan supply more accurately than any current techniques. Three layers back-propagation neural network was constructed with 40 nodes input or influent factors and 1 node output or amount of longan. Empirical data sets were feed into the networks for the training step. Finally, tested data sets were used to verify the capability of ANNs model. 2015-06-16T08:01:08Z 2015-06-16T08:01:08Z 2012-12-01 Article 16851994 2-s2.0-84872244682 http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=84872244682&origin=inward http://cmuir.cmu.ac.th/handle/6653943832/39007 Chiang Mai University
institution Chiang Mai University
building Chiang Mai University Library
country Thailand
collection CMU Intellectual Repository
topic Multidisciplinary
spellingShingle Multidisciplinary
Leksakul,K.
Sopadang,A.
Off-season supply forecasting in Thai longan supply chain with artificial neural network
description This paper presented the application of artificial neural networks (ANNs) in forecasting amount of off season longan. With their ability to discover patterns in nonlinear and chaotic systems, ANNs offer the ability to predict off season longan supply more accurately than any current techniques. Three layers back-propagation neural network was constructed with 40 nodes input or influent factors and 1 node output or amount of longan. Empirical data sets were feed into the networks for the training step. Finally, tested data sets were used to verify the capability of ANNs model.
format Article
author Leksakul,K.
Sopadang,A.
author_facet Leksakul,K.
Sopadang,A.
author_sort Leksakul,K.
title Off-season supply forecasting in Thai longan supply chain with artificial neural network
title_short Off-season supply forecasting in Thai longan supply chain with artificial neural network
title_full Off-season supply forecasting in Thai longan supply chain with artificial neural network
title_fullStr Off-season supply forecasting in Thai longan supply chain with artificial neural network
title_full_unstemmed Off-season supply forecasting in Thai longan supply chain with artificial neural network
title_sort off-season supply forecasting in thai longan supply chain with artificial neural network
publisher Chiang Mai University
publishDate 2015
url http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=84872244682&origin=inward
http://cmuir.cmu.ac.th/handle/6653943832/39007
_version_ 1681421576579317760

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