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

机译：神经网络在输送带式干燥机干燥过程中预测Bracharia brizantha水分含量的应用

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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.

机译：种子干燥本质上是一个同时涉及生命活动的传热传质过程，种子的生存力受制程条件的影响很大，通过在线监控来跟踪主要变量是种子干燥过程中的关键步骤。目前的工作是设计一个神经网络，并通过实验验证其适用性和性能，以预测在实验室规模的传送带干燥机中干燥过程中Brachiaria brizantha种子的含水量。在两种不同温度下的传送带干燥机中进行干燥实验，三种不同的种子层厚度和流化速度。

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来源
《The 18th international drying symposium》|2012年|1-5|共5页
会议地点 Xiamen(CN)
作者
L.G.SLisa; V.H.P.Miranda; F.B.Freire; J.T.Freire;
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作者单位

Drying Center,Department of Chemical Engineering Federal University of S?o Carlos;

Drying Center,Department of Chemical Engineering Federal University of S?o Carlos;

Drying Center,Department of Chemical Engineering Federal University of S?o Carlos;

Drying Center,Department of Chemical Engineering Federal University of S?o Carlos;

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原文格式 PDF
正文语种 eng
中图分类空气处理;
关键词
neural networks; Brachiaria brizantha seeds; conveyor belt dryer;

机译：神经网络; Brachiaria brizantha种子;传送带干燥机;

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1. Mathematical Modelling of Conveyor-Belt Dryers with Tangential Flow for Food Drying up to Final Moisture Content below the Critical Value [J] . Dario Friso Inventions . 2021,第43期

机译：输送带干燥机的数学建模与切向流量的食物干燥到临界值低于最终水分含量
2. Conveyor-Belt Dryers with Tangential Flow for Food Drying: Mathematical Modeling and Design Guidelines for Final Moisture Content Higher Than the Critical Value [J] . Dario Friso Inventions . 2020,第22期

机译：用于食品干燥的传送带烘干机，用于食品干燥：数学建模和最终水分含量高于临界值的设计指南
3. A neural network for predicting moisture content of grain drying process using genetic algorithm. [J] . Liu XueQiang, Chen XiaoGuang, Wu WenFu, Food Control . 2007,第8期

机译：使用遗传算法预测谷物干燥过程中水分含量的神经网络。
4. APPLICATION OF NEURAL NETWORKS TO PREDICT THE MOISTURE CONTENT OF Brachiaria brizantha DURING DRYING IN A CONVEYOR BELT DRYER [C] . L.G.SLisa, V.H.P.Miranda, F.B.Freire, International drying symposium . 2012

机译：神经网络在输送带干燥器中干燥期间预测Brachiaria Brizanta的水分含量
5. Why is SMOS dry compared to soil moisture observed by the South Fork in situ soil moisture network? [D] . Walker, Victoria A. 2016

机译：为什么SMOS干燥与南叉观察到原位土壤湿度网络的土壤水分相比？
6. Automatic System for Visual Detection of Dirt Buildup on Conveyor Belts Using Convolutional Neural Networks [O] . André A. Santos, Filipe A. S. Rocha, Agnaldo J. da R. Reis, 2020

机译：使用卷积神经网络对传送带污垢堆积的自动系统
7. Conveyor-Belt Dryers with Tangential Flow for Food Drying: Mathematical Modeling and Design Guidelines for Final Moisture Content Higher Than the Critical Value [O] . Dario Friso 2020

机译：用于食品干燥的传送带烘干机，用于食品干燥：数学建模和最终水分含量高于临界值的设计指南

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

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