APPLICATION OF NEURAL NETWORKS TO PREDICT THE MOISTURE CONTENT OF Brachiaria brizantha DURING DRYING IN A CONVEYOR BELT DRYER

摘要：

　　The drying of seeds is essentially a simultaneous heat and mass transfer process involving living activity.The viability of seeds is greatly affected by the process operating conditions.Keeping track of the main variables by online monitoring is a key step during seed drying.The main objective of the present work was to design a neural network and experimentally verify its suitability and performance to predict the moisture content of Brachiaria brizantha seeds during drying in a laboratory-scale conveyor belt dryer.Drying experiments were done in the conveyor belt dryer for two different temperatures,three different seeds layer thickness and fluidization velocities.

关键词： neural networks Brachiaria brizantha seeds conveyor belt dryer

作者: L.G.S,Lisa V.H.P.Miranda F.B.Freire J.T.Freire

作者单位: Drying Center,Department of Chemical Engineering Federal University of S?o Carlos

会议类型: 国际会议

会议名称: The 18th International Drying Symposium Conference(第十八届国际干燥学术大会(IDS2012))

会议地点: 厦门

会议语种:英文

页码: 1-5

在线出版日期: 2012-01-11（万方平台首次上网日期，不代表论文的发表时间）