Please use this identifier to cite or link to this item: http://www.repository.rmutt.ac.th/xmlui/handle/123456789/1764
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dc.contributor.authorSupachoke Saengswarng
dc.date.accessioned2014-09-05T03:54:40Z
dc.date.accessioned2020-09-24T04:36:43Z-
dc.date.available2014-09-05T03:54:40Z
dc.date.available2020-09-24T04:36:43Z-
dc.date.issued2013
dc.identifier.urihttp://www.repository.rmutt.ac.th/dspace/handle/123456789/1764-
dc.description.abstractBamboo shoot is a one of important agricultural products of Thailand which obtain good income over 500 million bahts for a year. The production of fresh bamboo shoots after harvesting is divided in 3 steps, cleaning sizing and packing. All steps absolutely use human in the production and take a lot of time especially in sizing process by weighing. This paper deals with determination of the relation between weight and mean diameter of bamboo shoot for measuring the weight of bamboo shoot without weighing. The artifitial neural network (ANN) was a tool for this work. One thousand (1,000) bamboo shoots of Rough Giant Bamboo in Prachinburi province were used as samples. The one hidden layer and twelve neurons in the hidden layers were selected. The trained ANN provided the R2 value of curve between the values which predicted by optimal ANN and the actual values was acceptable (0.7508).en_US
dc.language.isoenen_US
dc.publisherRajamangala University of Technology Thanyaburi. Faculty of Engineeringen_US
dc.subjectBamboo shooten_US
dc.subjectSizingen_US
dc.subjectMean diameteren_US
dc.subjectNeural networken_US
dc.titleThe relation between weight and mean diameter of bamboo shooten_US
dc.typeOtheren_US
Appears in Collections:ประชุมวิชาการ (Proceedings - EN)

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