Application of neural networks as a non-linear modelling technique in food mycology

Expert Systems with Applications

Volumn 36, Issue 1, 2009, Pages 121-131

  Panagou, E Z ^a,b   Kodogiannis, V S ^c  

^a INSTITUTE OF TECHNOLOGY OF AGRICULTURAL PRODUCTS   (Greece)

^b AGRICULTURAL UNIVERSITY OF ATHENS   (Greece)

^c UNIVERSITY OF WESTMINSTER   (United Kingdom)

Author keywords

Modelling; Neural networks; Polynomial regression; Predictive mycology

Indexed keywords

ARTIFICIAL INTELLIGENCE; MATHEMATICAL MODELS; MICROBIOLOGY; MICROORGANISMS; NETWORK PROTOCOLS; PH EFFECTS; SENSOR NETWORKS; STATISTICAL METHODS; VEGETATION;

ANIMAL FEEDING; COEFFICIENT OF DETERMINATION; ENUMERATION TECHNIQUES; EXPERIMENTAL DATA; FUNGAL GROWTH; JOINT EFFECT; MICROBIAL GROWTH; MODELLING; MONASCUS; NON-LINEAR; PH LEVELS; POLYNOMIAL MODELING; POLYNOMIAL REGRESSION; PREDICTIVE MICRO-BIOLOGY; PREDICTIVE MYCOLOGY; SPECIFIC GROWTH RATE; STATISTICAL INDICES; STATISTICAL MODELLING;

NEURAL NETWORKS;

EID: 53849092079     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2007.09.022     Document Type: Article

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