Modeling selected properties of extruded rice flour and rice starch by neural networks and statistics

Cereal Chemistry

Volumn 83, Issue 3, 2006, Pages 223-227

  Ganjyal, G ^a   Hanna, M A ^b   Supprung, P ^c   Noomhorm, A ^c   Jones, D ^b  

^a MGP Ingredients Inc ^*  (United States)

^b UNIVERSITY OF NEBRASKA LINCOLN   (United States)

^c ASIAN INSTITUTE OF TECHNOLOGY   (Thailand)

Author keywords

[No Author keywords available]

Indexed keywords

MIMO SYSTEMS; NETWORK LAYERS; REGRESSION ANALYSIS; STARCH;

HIDDEN LAYERS; INPUT PARAMETER; MULTIPLE INPUT AND MULTIPLE OUTPUTS; NEURAL NETWORK MODEL; NEURAL-NETWORKS; PRODUCT PROPERTY; PROPERTY; RICE FLOUR; RICE STARCH; SINGLE SCREW;

FORECASTING;

EID: 33745040695     PISSN: 00090352     EISSN: None     Source Type: Journal    
DOI: 10.1094/CC-83-0223     Document Type: Article

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