A fuzzy identification procedure for nonlinear time series: With example on ARCH and bilinear models

Author： Wu B.   Hung S.-L.  

Publisher： Elsevier

ISSN： 0165-0114

Source： Fuzzy Sets and Systems, Vol.108, Iss.3, 1999-12, pp. : 275-287

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

Fuzzy stochastic fuzzy time series and its models

By Song Q.   Leland R.P.   Chissom B.S.  

Fuzzy Sets and Systems, Vol. 88, Iss. 3, 1997-06 ,pp. : 333-341

Elsevier

Access to resources Recommend Favorite

Continuous-Time Bilinear System Identification

By Juang Jer-Nan  

Nonlinear Dynamics, Vol. 39, Iss. 1-2, 2005-01 ,pp. : 79-94

Springer Publishing Company

Access to resources Recommend Favorite

Physics constrained nonlinear regression models for time series

By Majda Andrew J   Harlim John  

Nonlinearity, Vol. 26, Iss. 1, 2013-01 ,pp. : 201-217

IOP Publishing

Access to resources Recommend Favorite

Truncated Chebyshev series approximation of fuzzy systems for control and nonlinear system identification

By Siettos C.I.   Bafas G.V.   Boudouvis A.G.  

Fuzzy Sets and Systems, Vol. 126, Iss. 1, 2002-02 ,pp. : 89-104

Elsevier

Access to resources Recommend Favorite

A System Approach to Analysis of Adequacy of Nonlinear Time Series Models

By Bidyuk P. I.   Baklan I. V.   Gasanov A. S.  

Cybernetics and Systems Analysis, Vol. 39, Iss. 3, 2003-05 ,pp. : 440-449

Springer Publishing Company

Access to resources Recommend Favorite