A novel evolving clustering algorithm with polynomial regression for chaotic time-series prediction

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5864 LNCS, Issue PART 2, 2009, Pages 114-121

  Widiputra, Harya ^a   Kho, Henry ^b   Lukas, ^c   Pears, Russel ^a   Kasabov, Nikola ^a  

^a AUCKLAND UNIVERSITY OF TECHNOLOGY   (New Zealand)

^b Swiss German University   (Indonesia)

^c Faculty of Engineering Univeritas Katolik Indonesia Atma Jaya   (Indonesia)

Author keywords

Chaotic time series data; Evolving clustering algorithm; Polynomial regression

Indexed keywords

BENCHMARK TESTS; CHAOTIC TIME SERIES; CHAOTIC TIME SERIES PREDICTION; CHAOTIC TIME-SERIES DATA; CURRENCY EXCHANGE RATES; DATA SETS; LOCAL PATTERNS; MOVING AVERAGES; MULTI LAYER PERCEPTRON; MULTIPLE LINEAR REGRESSIONS; POLYNOMIAL REGRESSION; STOCK EXCHANGE MARKETS; STOCK PRICE; TIME SERIES PREDICTION; TIME-SERIES DATA;

DATA PROCESSING; LINEAR REGRESSION; NEURAL NETWORKS; POLYNOMIALS; STATISTICAL TESTS;

CLUSTERING ALGORITHMS;

EID: 76249109712     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-10684-2_13     Document Type: Conference Paper

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