A hybrid learning algorithm with a similarity-based pruning strategy for self-adaptive neuro-fuzzy systems

Applied Soft Computing Journal

Volumn 9, Issue 4, 2009, Pages 1354-1366

  Leng, Gang ^a   Zeng, Xiao Jun ^b   Keane, John A ^b  

^a LANCASTER UNIVERSITY   (United Kingdom)

^b UNIVERSITY OF MANCHESTER   (United Kingdom)

Author keywords

Self adaptive neuro fuzzy systems; Similarity analysis; Triangular function; TS model

Indexed keywords

FUZZY RULE SET; GEOMETRIC GROWTH; HYBRID LEARNING ALGORITHM; INITIAL STRUCTURES; LEARNING PROCESS; MODEL ACCURACY; NEUROFUZZY SYSTEM; PRUNING STRATEGY; SELF-ADAPTIVE; SELF-ADAPTIVE NEURO-FUZZY SYSTEMS; SIMILARITY ANALYSIS; SYSTEM ERRORS; TRIANGULAR FUNCTION; TS MODEL; TWO STAGE;

BACKPROPAGATION ALGORITHMS; EDUCATION; FUZZY LOGIC; FUZZY RULES; FUZZY SYSTEMS; LEARNING SYSTEMS; MEMBERSHIP FUNCTIONS;

LEARNING ALGORITHMS;

EID: 68849097314     PISSN: 15684946     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.asoc.2009.05.006     Document Type: Article

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