A comparison of neural network models, fuzzy logic, and multiple linear regression for prediction of hatchability

Poultry Science

Volumn 92, Issue 4, 2013, Pages 1138-1142

  Mehri, M ^a  

^a UNIVERSITY OF ZABOL   (Iran)

Author keywords

Artificial neural network; Fuzzy logic; Hatchability; Multiple linear regression

Indexed keywords

ANIMAL; ANIMAL HUSBANDRY; ARTICLE; ARTIFICIAL NEURAL NETWORK; BIOLOGICAL MODEL; CHICK EMBRYO; CHICKEN; COMPARATIVE STUDY; FUZZY LOGIC; GROWTH, DEVELOPMENT AND AGING; METHODOLOGY; OOCYTE; PHYSIOLOGY; REPRODUCTION; STATISTICAL MODEL;

ANIMAL HUSBANDRY; ANIMALS; CHICK EMBRYO; CHICKENS; FUZZY LOGIC; LINEAR MODELS; MODELS, BIOLOGICAL; NEURAL NETWORKS (COMPUTER); OVUM; REPRODUCTION;

EID: 84875030685     PISSN: 00325791     EISSN: 15253171     Source Type: Journal    
DOI: 10.3382/ps.2012-02827     Document Type: Article

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