Vegetable product forecasting system by adaptive genetic algorithm

The objective of this study is creating the vegetable product forecasting system that use adaptive genetic algorithm as a method to find out a parameter set for objective function to predict vegetable product weight in the future. The system is installed in a personal computer (Intel Pentium 4 and m...

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Main Authors:	Chaivivatrakul S., Somhom S.
Format:	Conference or Workshop Item
Language:	English
Published:	2014
Online Access:	http://www.scopus.com/inward/record.url?eid=2-s2.0-27944447369&partnerID=40&md5=15deae3d047762baeb00943098c113c1 http://cmuir.cmu.ac.th/handle/6653943832/6303
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Institution:	Chiang Mai University
Language:	English

id	th-cmuir.6653943832-6303
record_format	dspace
spelling	th-cmuir.6653943832-63032014-08-30T03:24:04Z Vegetable product forecasting system by adaptive genetic algorithm Chaivivatrakul S. Somhom S. The objective of this study is creating the vegetable product forecasting system that use adaptive genetic algorithm as a method to find out a parameter set for objective function to predict vegetable product weight in the future. The system is installed in a personal computer (Intel Pentium 4 and main memory 512 MHz.) that is implemented with Borland Delphi 6 and MS Access 2000. The system is tested by 5 types of vegetable, an error of an experimental result with tested data isn't more than 10 percent with 0.05 level of significance, this is clear that the system can be applied to forecast the actual vegetable data. © 2004 IEEE. 2014-08-30T03:24:04Z 2014-08-30T03:24:04Z 2004 Conference Paper 66073 85QXA http://www.scopus.com/inward/record.url?eid=2-s2.0-27944447369&partnerID=40&md5=15deae3d047762baeb00943098c113c1 http://cmuir.cmu.ac.th/handle/6653943832/6303 English
institution	Chiang Mai University
building	Chiang Mai University Library
country	Thailand
collection	CMU Intellectual Repository
language	English
description	The objective of this study is creating the vegetable product forecasting system that use adaptive genetic algorithm as a method to find out a parameter set for objective function to predict vegetable product weight in the future. The system is installed in a personal computer (Intel Pentium 4 and main memory 512 MHz.) that is implemented with Borland Delphi 6 and MS Access 2000. The system is tested by 5 types of vegetable, an error of an experimental result with tested data isn't more than 10 percent with 0.05 level of significance, this is clear that the system can be applied to forecast the actual vegetable data. © 2004 IEEE.
format	Conference or Workshop Item
author	Chaivivatrakul S. Somhom S.
spellingShingle	Chaivivatrakul S. Somhom S. Vegetable product forecasting system by adaptive genetic algorithm
author_facet	Chaivivatrakul S. Somhom S.
author_sort	Chaivivatrakul S.
title	Vegetable product forecasting system by adaptive genetic algorithm
title_short	Vegetable product forecasting system by adaptive genetic algorithm
title_full	Vegetable product forecasting system by adaptive genetic algorithm
title_fullStr	Vegetable product forecasting system by adaptive genetic algorithm
title_full_unstemmed	Vegetable product forecasting system by adaptive genetic algorithm
title_sort	vegetable product forecasting system by adaptive genetic algorithm
publishDate	2014
url	http://www.scopus.com/inward/record.url?eid=2-s2.0-27944447369&partnerID=40&md5=15deae3d047762baeb00943098c113c1 http://cmuir.cmu.ac.th/handle/6653943832/6303
_version_	1681420588477841408

Vegetable product forecasting system by adaptive genetic algorithm

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