Forecast of off-season longan supply using fuzzy support vector regression and fuzzy artificial neural network

© 2015 Elsevier B.V. An over-supply crisis in longans in northern Thailand adversely affected farmer income. Cultivating longans off-season was adapted as an alternative solution to this over-supply problem. However, lacking information management and analysis, over supply occurred even during the o...

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Main Authors: Komgrit Leksakul, Pongsak Holimchayachotikul, Apichat Sopadang
Format: Journal
Published: 2018
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http://cmuir.cmu.ac.th/jspui/handle/6653943832/44156
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Institution: Chiang Mai University
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spelling th-cmuir.6653943832-441562018-04-25T07:46:18Z Forecast of off-season longan supply using fuzzy support vector regression and fuzzy artificial neural network Komgrit Leksakul Pongsak Holimchayachotikul Apichat Sopadang Agricultural and Biological Sciences © 2015 Elsevier B.V. An over-supply crisis in longans in northern Thailand adversely affected farmer income. Cultivating longans off-season was adapted as an alternative solution to this over-supply problem. However, lacking information management and analysis, over supply occurred even during the off-season, leading to a slump in the sale price. Supply forecasting plays an important role in solving this problem. To solve this problem, we proposed a systematic approach for off-season longan forecasting using neural network, fuzzy neural network, support vector regression and Fuzzy Support Vector Regression (FSVR). In addition, grid search was applied to each support vector model to find its optimum architecture. Real data sets were used to evaluate and compare the effectiveness and efficiency of the algorithms. The experimental results showed that FSVR was the most effective forecasting technique. 2018-01-24T04:38:46Z 2018-01-24T04:38:46Z 2015-10-01 Journal 01681699 2-s2.0-84942097524 10.1016/j.compag.2015.09.002 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84942097524&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/44156
institution Chiang Mai University
building Chiang Mai University Library
country Thailand
collection CMU Intellectual Repository
topic Agricultural and Biological Sciences
spellingShingle Agricultural and Biological Sciences
Komgrit Leksakul
Pongsak Holimchayachotikul
Apichat Sopadang
Forecast of off-season longan supply using fuzzy support vector regression and fuzzy artificial neural network
description © 2015 Elsevier B.V. An over-supply crisis in longans in northern Thailand adversely affected farmer income. Cultivating longans off-season was adapted as an alternative solution to this over-supply problem. However, lacking information management and analysis, over supply occurred even during the off-season, leading to a slump in the sale price. Supply forecasting plays an important role in solving this problem. To solve this problem, we proposed a systematic approach for off-season longan forecasting using neural network, fuzzy neural network, support vector regression and Fuzzy Support Vector Regression (FSVR). In addition, grid search was applied to each support vector model to find its optimum architecture. Real data sets were used to evaluate and compare the effectiveness and efficiency of the algorithms. The experimental results showed that FSVR was the most effective forecasting technique.
format Journal
author Komgrit Leksakul
Pongsak Holimchayachotikul
Apichat Sopadang
author_facet Komgrit Leksakul
Pongsak Holimchayachotikul
Apichat Sopadang
author_sort Komgrit Leksakul
title Forecast of off-season longan supply using fuzzy support vector regression and fuzzy artificial neural network
title_short Forecast of off-season longan supply using fuzzy support vector regression and fuzzy artificial neural network
title_full Forecast of off-season longan supply using fuzzy support vector regression and fuzzy artificial neural network
title_fullStr Forecast of off-season longan supply using fuzzy support vector regression and fuzzy artificial neural network
title_full_unstemmed Forecast of off-season longan supply using fuzzy support vector regression and fuzzy artificial neural network
title_sort forecast of off-season longan supply using fuzzy support vector regression and fuzzy artificial neural network
publishDate 2018
url https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84942097524&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/44156
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