Modelling aspects of grain drying with a neural network

Computers and Electronics in Agriculture

Volumn 29, Issue 1-2, 2000, Pages 99-113

  Farkas, I ^a   Remenyi P ^a   Biro A ^a  

^a SZENT ISTVÁN UNIVERSITY   (Hungary)

Author keywords

Back propagation; Grain drying; Modelling; Neural network

Indexed keywords

ATMOSPHERIC HUMIDITY; BACKPROPAGATION; GRAIN (AGRICULTURAL PRODUCT); LEARNING ALGORITHMS; MATHEMATICAL MODELS; MOISTURE; NEURAL NETWORKS; RANDOM PROCESSES; THERMAL EFFECTS;

O'CALLAGHAN MODEL;

DRYING;

HORDEUM VULGARE SUBSP. VULGARE;

EID: 0034306907     PISSN: 01681699     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0168-1699(00)00138-1     Document Type: Conference Paper

References (9)

1. Use of neural network to predict industrial dryer performance
2. Modelling and control of drying processes using neural networks
3. Neurocomputing approaches to modelling of drying process dynamics
4. Digital simulation of agricultural dryer performance
5. Prediction of psychrometric parameters using neural networks
6. Mathematical modelling and simulation of near-ambient grain drying
7. Development of ANN model for non-linear drying process
8. Dynamic models for drying and wet-milling quality degradation of corn using neural networks