Dynamic neuro-fuzzy local modeling system with a nonlinear feature extraction for the online adaptive warning system of river temperature affected by waste cooling water discharge

This paper proposes a dynamic modeling methodology based on a dynamic neuro-fuzzy local modeling system (DNFLMS) with a nonlinear feature extraction technique for an online dynamic modeling task. Prior to model building, a nonlinear feature extraction technique called the Gamma test (GT) is proposed...

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Veröffentlicht in:Stochastic environmental research and risk assessment 2012-10, Vol.26 (7), p.947-960
Hauptverfasser: Hong, Yoon-Seok Timothy, Bhamidimarri, Rao
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Sprache:eng
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