Predicting Chaotic time series using neural and neurofuzzy models: A comparative study

Neural Processing Letters

Volumn 24, Issue 3, 2006, Pages 217-239

  Gholipour, Ali ^a,b   Araabi, Babak N ^a,b   Lucas, Caro ^a,b  

^a UNIVERSITY OF TEHRAN   (Iran)

^b INSTITUTE FOR STUDIES IN THEORETICAL PHYSICS AND MATHEMATICS IPM   (Iran)

Author keywords

Adaptive network based fuzzy inference system; Chaotic time series; Locally linear model tree; Locally linear models; Multilayer function; Neurofuzzy models; Nonlinear time series; Prediction; Radial basis function

Indexed keywords

CHAOS THEORY; COMPUTATIONAL COMPLEXITY; LEARNING ALGORITHMS; MATHEMATICAL MODELS; NEURAL NETWORKS; RADIAL BASIS FUNCTION NETWORKS; TIME SERIES ANALYSIS;

CHAOTIC TIME SERIES; COMPARATIVE STUDY; LINEAR NEUROFUZZY MODELS; LOCALLY LINEAR MODELS; MULTILAYER FUNCTION; ORTHOGONAL LEAST SQUARES (OLS);

FUZZY SETS;

EID: 33750535466     PISSN: 13704621     EISSN: 1573773X     Source Type: Journal    
DOI: 10.1007/s11063-006-9021-x     Document Type: Article

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