Complexity reduction in radial basis function (RBF) networks by using radial B-spline functions

Neurocomputing

Volumn 18, Issue 1-3, 1998, Pages 183-194

  Saranli, Afsar ^a   Baykal, Buyurman ^b  

^a MIDDLE EAST TECHNICAL UNIVERSITY   (Turkey)

^b IMPERIAL COLLEGE LONDON   (United Kingdom)

Author keywords

B splines; Computational complexity; CORDIC; RBF

Indexed keywords

ALGORITHMS; APPROXIMATION THEORY; COMPUTATIONAL COMPLEXITY; COMPUTATIONAL METHODS; FUNCTIONS;

GAUSSIAN BASIS FUNCTIONS; INVERSE MULTIQUADRATIC (IVMQ) FUNCTIONS; RADIAL BASIS FUNCTION (RDF) NETWORKS;

NEURAL NETWORKS;

ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; PRIORITY JOURNAL; SIGNAL PROCESSING; STATISTICAL ANALYSIS;

EID: 0031889404     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0925-2312(97)00078-7     Document Type: Article

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