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Soft Computing Based Statistical Time Series Analysis, Characterization of Chaos Theory, and Theory of Fractals
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Author(s): Mofazzal H. Khondekar (Dr. B.C. Roy Engineering College, India), Dipendra N. Ghosh (Dr. B.C. Roy Engineering College, India), Koushik Ghosh (University Institute of Technology, University of Burdwan, India)and Anup Kumar Bhattacharya (National Institute of Technology, India)
Copyright: 2013
Pages: 32
Source title:
Handbook of Research on Computational Intelligence for Engineering, Science, and Business
Source Author(s)/Editor(s): Siddhartha Bhattacharyya (RCC Institute of Information Technology, India)and Paramartha Dutta (Visva-Bharati University, India)
DOI: 10.4018/978-1-4666-2518-1.ch002
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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.
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