Modelling aspects of grain drying with a neural network

被引：45

作者：

Farkas, I ^{[1
]}

Reményi, P

Biró, A

机构：

[1] Szent Istvan Univ, Dept Phys & Proc Control, H-2103 Godollo, Hungary

[2] Szent Istvan Univ, Dept Comp Sci, H-2103 Godollo, Hungary

来源：

COMPUTERS AND ELECTRONICS IN AGRICULTURE | 2000年 / 29卷 / 1-2期

关键词：

grain drying; modelling; neural network; back-propagation;

D O I：

10.1016/S0168-1699(00)00138-1

中图分类号：

S [农业科学];

学科分类号：

09 ;

摘要：

This paper deals with a neural network (NN) application to an agricultural fixed-bed dryer. The aim of the study was to set-up a NN in order to determine the relationship between the moisture distribution of the material to be dried and the physical parameters of the drying air temperature, humidity and air flow rate. Input data was randomly changed, while output was generated by O'Callaghan's model based on the input specifically for barley. A selected NN structure was used for studying the influence of sampling time, randomised training, different back-propagation training algorithms and the number of hidden neurones. It was concluded that the artificial NN could be effective for modelling of the grain drying process. (C) 2000 Elsevier Science B.V. All rights reserved.

引用

页码：99 / 113

页数：15

共 9 条

[1] USE OF NEURAL NETWORK TO PREDICT INDUSTRIAL DRYER PERFORMANCE [J].

HUANG, B ;

MUJUMDAR, AS .

DRYING TECHNOLOGY, 1993, 11 (03) :525-541

[2]

JAY S, 1996, P INT DRYING S, VB, P1393

[3] Neurocomputing approaches to modelling of drying process dynamics [J].

Kaminski, W ;

Strumillo, P ;

Tomczak, E .

DRYING TECHNOLOGY, 1998, 16 (06) :967-992

[4]

Lin CT, 1995, Neural fuzzy systems

[5] DIGITAL SIMULATION OF AGRICULTURAL DRIER PERFORMANCE [J].

OCALLAGHAN, JR ;

MENZIES, DJ ;

BAILEY, PH .

JOURNAL OF AGRICULTURAL ENGINEERING RESEARCH, 1971, 16 (03) :223-+

[6] Prediction of psychrometric parameters using neural networks [J].

Sreekanth, S ;

Ramaswamy, HS ;

Sablani, S .

DRYING TECHNOLOGY, 1998, 16 (3-5) :825-837

[7] MATHEMATICAL-MODELING AND SIMULATION OF NEAR-AMBIENT GRAIN DRYING [J].

SUN, Y ;

PANTELIDES, CC ;

CHALABI, ZS .

COMPUTERS AND ELECTRONICS IN AGRICULTURE, 1995, 13 (03) :243-271

[8] Development of ANN model for non-linear drying process [J].

Thyagarajan, T ;

Panda, RC ;

Shanmugam, J ;

Rao, PG ;

Ponnavaikko, M .

DRYING TECHNOLOGY, 1997, 15 (10) :2527-2540

[9] Dynamic models for drying and wet-milling quality degradation of corn using neural networks [J].

Trelea, IC ;

Courtois, F ;

Trystram, G .

DRYING TECHNOLOGY, 1997, 15 (3-4) :1095-1102

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