A study of cross-validation and bootstrap as objective functions for genetic algorithms

Proceedings - Brazilian Symposium on Neural Networks, SBRN

Volumn 2002-January, Issue , 2002, Pages 118-123

  De Lacerda, E G M ^a   De Carvalho, A C P L F ^b   Ludermir, T B ^a  

^a FEDERAL UNIVERSITY OF PERNAMBUCO   (Brazil)

^b UNIVERSITY OF SÃO PAULO   (Brazil)

Author keywords

Artificial intelligence; Backpropagation algorithms; Character generation; Genetic algorithms; Humans; Informatics; Learning systems; Machine learning algorithms; Neural networks; Thumb

Indexed keywords

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BACKPROPAGATION; BACKPROPAGATION ALGORITHMS; GENETIC ALGORITHMS; LEARNING SYSTEMS; NEURAL NETWORKS;

ADJUSTABLE PARAMETERS; CHARACTER GENERATION; HUMANS; INFORMATICS; MODEL SELECTION PROBLEM; MODEL SELECTION TECHNIQUES; OBJECTIVE FUNCTIONS; THUMB;

LEARNING ALGORITHMS;

EID: 26844570419     PISSN: 15224899     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SBRN.2002.1181451     Document Type: Conference Paper

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