The prediction of seedy grape drying rate using a neural network method

Computers and Electronics in Agriculture

Volumn 75, Issue 1, 2011, Pages 132-138

  Çakmak, Gülşah ^a   Yildiz, Cengiz ^a  

^a FIRAT UNIVERSITY   (Turkey)

Author keywords

Drying; Modelling; Neural networks; Seedy grape

Indexed keywords

ALTERNATIVE APPROACH; CORRELATION COEFFICIENT; DRYING RATES; DRYING SYSTEMS; FNN MODELS; GRAPE DRYING; LINEAR REGRESSION MODELS; MEAN ABSOLUTE ERROR; MODELLING; NEURAL NETWORK METHOD; NON-LINEAR REGRESSION ANALYSIS; NONLINEAR BEHAVIOURS; ROOT MEAN SQUARE ERRORS; SEEDY GRAPE; SOLAR AIR COLLECTOR; THIN LAYER DRYING;

CURING; DRYING; ERRORS; FRUITS; PLANTS (BOTANY); REGRESSION ANALYSIS; SOLAR COLLECTORS;

FEEDFORWARD NEURAL NETWORKS;

ARTIFICIAL NEURAL NETWORK; NUMERICAL MODEL; REGRESSION ANALYSIS; VINE;

VITACEAE;

EID: 78650511788     PISSN: 01681699     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compag.2010.10.008     Document Type: Article

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