A feed-forward network for input that is both categorical and quantitative

Neural Networks

Volumn 15, Issue 7, 2002, Pages 881-890

  Brouwer, Roelof K ^a  

^a THOMPSON RIVERS UNIVERSITY   (Canada)

Author keywords

Anova; Categorical variable regression; Feed forward neural networks; Indicator variables; Multi layer perceptron; Nominal input

Indexed keywords

MAPPING; NUMERICAL METHODS; VARIATIONAL TECHNIQUES;

CATEGORICAL INDEPENDENT VARIABLES; SIGMOID FUNCTIONS;

FEEDFORWARD NEURAL NETWORKS;

ARTICLE; COLOR; COMPARATIVE STUDY; FEEDBACK SYSTEM; GENDER; NERVE CELL NETWORK; PRIORITY JOURNAL; QUANTITATIVE ANALYSIS; RACE; TECHNIQUE;

ALGORITHMS; ANIMALS; ARTIFICIAL INTELLIGENCE; COMPUTER SIMULATION; FEEDBACK; HUMANS; LINEAR MODELS; MODELS, NEUROLOGICAL; NEURAL NETWORKS (COMPUTER); NONLINEAR DYNAMICS; PERCEPTION;

EID: 0036756238     PISSN: 08936080     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0893-6080(02)00090-4     Document Type: Article

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