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: | , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2014
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| 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 |
| Summary: | 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. |
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