Using genetic algorithms versus line search optimization for HIV predictions

WSEAS Transactions on Information Science and Applications

Volumn 3, Issue 4, 2006, Pages 684-690

  Betechuoh, Brain Leke ^a   Tim, Taryn ^a   Marwala, Tshilidzi ^a   Lagazio, Monica ^b  

^a UNIVERSITY OF THE WITWATERSRAND   (South Africa)

^b UNIVERSITY OF KENT   (United Kingdom)

Author keywords

AIDS; Bayesian classification; Committee of networks; Confusion matrix; Conjugate gradient methods; Genetic algorithms; Multi layer perceptron; Neural networks

Indexed keywords

DATA MINING; GENETIC ALGORITHMS; GRADIENT METHODS; MULTILAYER NEURAL NETWORKS; OPTIMIZATION; PATTERN RECOGNITION;

ACQUIRED IMMUNODEFICIENCY SYNDROME (AIDS); BAYESIAN CLASSIFICATION; BIOMEDICAL INDIVIDUALISM; CONFUSION MATRIX; HUMAN IMMUNODEFICIENCY VIRUS (HIV); LINE SEARCH OPTIMIZATION;

BIOMEDICAL ENGINEERING;

EID: 33645165824     PISSN: 17900832     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

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