A novel multi-epitopic immune network model hybridized with neural theory and fuzzy concept

Neural Networks

Volumn 22, Issue 5-6, 2009, Pages 633-641

  Izadinia, Hamid ^a   Sadeghi, Fereshteh ^a   Ebadzadeh, Mohammad Mehdi ^a  

^a AMIRKABIR UNIVERSITY OF TECHNOLOGY   (Iran)

Author keywords

Artificial immune system; Fuzzy set; Immune network theory; Learning vector quantization; Multi epitope approach

Indexed keywords

ARTIFICIAL IMMUNE SYSTEM; BENCHMARK CLASSIFICATION; COMPLEX INTERACTION; DEFENSE MECHANISM; FOREIGN SUBSTANCES; FUZZY CONCEPT; FUZZY NEURO; IMMUNE CELLS; IMMUNE NETWORK MODEL; IMMUNE NETWORK THEORY; IMMUNE SYSTEMS; LEARNING VECTOR QUANTIZATION; MULTI-EPITOPE APPROACH; NATURAL IMMUNE SYSTEMS; NEURAL SYSTEMS; PARSIMONIOUS CLASSIFIERS; SUPERVISED LEARNING METHODS;

CIRCUIT THEORY; CLASSIFIERS; EDUCATION; EXPERIMENTS; FUZZY LOGIC; FUZZY SETS; IMMUNOLOGY; LEARNING SYSTEMS; NEURAL NETWORKS;

VECTOR QUANTIZATION;

EPITOPE;

ACCURACY; ALGORITHM; ARTICLE; BIOLOGICAL MODEL; CLASSIFICATION; CONTROLLED STUDY; CYTOLOGY; DATA ANALYSIS; FUZZY SYSTEM; IMMUNE SYSTEM; IMMUNOCOMPETENT CELL; LEARNING; MOLECULAR BIOLOGY; NEUROIMMUNOLOGY; PRIORITY JOURNAL;

ALGORITHMS; ANTIBODIES; ARTIFICIAL INTELLIGENCE; COMPUTER SIMULATION; DATABASES, FACTUAL; FUZZY LOGIC; HUMANS; MODELS, IMMUNOLOGICAL; MODELS, NEUROLOGICAL; NEURAL NETWORKS (COMPUTER);

EID: 68149183581     PISSN: 08936080     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neunet.2009.06.041     Document Type: Article

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