Soft Computing Based Statistical Time Series Analysis, Characterization of Chaos Theory, and Theory of Fractals-Reference-Cited by-同舟云学术

Soft Computing Based Statistical Time Series Analysis, Characterization of Chaos Theory, and Theory of Fractals

Published:2013 Issue: Volume: Page:30-61
ISSN:
Container-title:Handbook of Research on Computational Intelligence for Engineering, Science, and Business
language:
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Author:

Khondekar Mofazzal H.¹,Ghosh Dipendra N.¹,Ghosh Koushik²,Bhattacharya Anup Kumar³

Affiliation:

1. Dr. B.C. Roy Engineering College, India

2. University Institute of Technology, University of Burdwan, India

3. National Institute of Technology, India

Abstract

The present work is an attempt to analyze the various researches already carried out from the theoretical perspective in the field of soft computing based time series analysis, characterization of chaos, and theory of fractals. Emphasis has been given in the analysis on soft computing based study in prediction, data compression, explanatory analysis, signal processing, filter design, tracing chaotic behaviour, and estimation of fractal dimension of time series. The present work is a study as a whole revealing the effectiveness as well as the shortcomings of the various techniques adapted in this regard.

Publisher

IGI Global

Reference83 articles.

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4. Efficient box-counting determination of generalized fractal dimensions

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