Hierarchical hybrid fuzzy-neural networks for approximation with mixed input variables

Neurocomputing

Volumn 70, Issue 16-18, 2007, Pages 3019-3033

  Wang, Di ^a   Zeng, Xiao Jun ^a   Keane, John A ^a  

^a UNIVERSITY OF MANCHESTER   (United Kingdom)

Author keywords

Approximation; Fuzzy systems; Hierarchical structure; Hybrid systems; Neural networks

Indexed keywords

APPROXIMATION THEORY; FUZZY SYSTEMS; HIERARCHICAL SYSTEMS; LEARNING ALGORITHMS;

DISCRETE INPUT VARIABLE; MIXED INPUT VARIABLES;

FUZZY NEURAL NETWORKS;

DIHYDROFOLATE REDUCTASE; PYRIMIDINE DERIVATIVE; TRIMETHOPRIM;

ACCURACY; ARTICLE; ARTIFICIAL NEURAL NETWORK; CONTROLLED STUDY; DATA BASE; DATA MINING; DRUG BINDING; FUZZY SYSTEM; INTERMETHOD COMPARISON; LEARNING ALGORITHM; LOW BIRTH WEIGHT; MATHEMATICAL COMPUTING; MATHEMATICAL VARIABLE; NORMAL DISTRIBUTION; PRIORITY JOURNAL; QUANTITATIVE STRUCTURE ACTIVITY RELATION; SALARY; SIMULATION;

EID: 34548164368     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neucom.2006.07.015     Document Type: Article

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