A. E.Eiben

A. L. J.Rodrigues

F. E. H.Tay

G. U.Yule

G.Box

H. L.Gray

J. B. J.Fourier

J.Schmidhuber

K. J.Falconer

K.Tanaka

M.Melanie

P. J.Harrison

R.Choudhry

S. A.Durai

S. L.Lauritzen

S.Haykin

W. H.Chen

X. Z.Gao

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.</jats:p

Mofazzal H. Khondekar

Dipendra N. Ghosh

Koushik Ghosh

Anup Kumar Bhattacharya

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

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

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