Missing value imputation on missing completely at random data using multilayer perceptrons

Neural Networks

Volumn 24, Issue 1, 2011, Pages 121-129

  Silva Ramírez, Esther Lydia ^a   Pino Mejías, Rafael ^b,c   López Coello, Manuel ^a   Cubiles de la Vega, María Dolores ^c  

^a UNIVERSITY OF CÁDIZ   (Spain)

^b Centro Informatico Cientifico de Andalucia   (Spain)

^c UNIVERSITY OF SEVILLE   (Spain)

Author keywords

Hot deck model; Imputation; Mean mode model; Missing data; Multilayer perceptron; Regression model

Indexed keywords

HOT-DECK MODEL; IMPUTATION; MEAN/MODE MODEL; MISSING DATA; MULTILAYER PERCEPTRON; REGRESSION MODEL;

AUTOCORRELATION; CONJUGATE GRADIENT METHOD; DATA MINING; ELECTRIC LOADS; EXPERIMENTS; MULTILAYERS; NEURAL NETWORKS; PATTERN RECOGNITION SYSTEMS; REGRESSION ANALYSIS;

LEARNING ALGORITHMS;

ARTICLE; ARTIFICIAL NEURAL NETWORK; AUTOMATION; DATA ANALYSIS; DATA BASE; DATA MINING; INFORMATION PROCESSING; PERCEPTRON; PRIORITY JOURNAL; PROBABILITY; REGRESSION ANALYSIS; SIMULATION;

ALGORITHMS; COMPUTER SIMULATION; DATA INTERPRETATION, STATISTICAL; HUMANS; INFORMATION SYSTEMS; NEURAL NETWORKS (COMPUTER);

EID: 78649645941     PISSN: 08936080     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neunet.2010.09.008     Document Type: Article

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