A Novel Data Preprocessing Method for the Modeling and Prediction of Freeze-Drying Behavior of Apples: Multiple Output-Dependent Data Scaling (MODDS)

Drying Technology

Volumn 30, Issue 2, 2012, Pages 185-196

  Polat, Kemal ^a   Kirmaci, Volkan ^b  

^a ABANT IZZET BAYSAL UNIVERSITY   (Turkey)

^b BARTIN UNIVERSITY   (Turkey)

Author keywords

Apple; Drying behavior; Freeze drying; Modeling; Multiple output dependent data scaling

Indexed keywords

ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM; APPLE; CHAMBER TEMPERATURE; COEFFICIENT OF DETERMINATION; COMPLEX PROCESSES; DATA PREPROCESSING; DATA SCALING; DATA SETS; DRYING BEHAVIOR; DRYING RATES; DRYING TIME; FREEZE DRYING; FREEZE-DRYING PROCESS; INDEX OF AGREEMENTS; INPUT PARAMETER; MEAN ABSOLUTE ERROR; MEAN ABSOLUTE PERCENTAGE ERROR; MOISTURE RATIOS; MULTIPLE OUTPUTS; PREDICTION ALGORITHMS; ROOT MEAN SQUARE ERRORS; SAMPLE TEMPERATURE;

ALGORITHMS; DRYING; FRUITS; HYBRID SYSTEMS; LOW TEMPERATURE DRYING; MODELS;

MEAN SQUARE ERROR;

EID: 84859320519     PISSN: 07373937     EISSN: 15322300     Source Type: Journal    
DOI: 10.1080/07373937.2011.630496     Document Type: Article

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