Complex-valued neuro-fuzzy inference system for wind prediction

Complex-valued neuro-fuzzy inference system for wind prediction

In this paper, we present a complex-valued neuro-fuzzy inference system (CNFIS) and its gradient descent based learning algorithm developed employing Wirtinger calculus. The proposed CNFIS is a four layered network which realizes zero-order Takagi-Sugeno-Kang based fuzzy inference mechanism. CNFIS i...

Bibliografiset tiedot
Päätekijät:	Suresh, Sundaram, Subramanian, K., Savitha, R.
Muut tekijät:	School of Computer Engineering
Aineistotyyppi:	Conference Paper
Kieli:	English
Julkaistu:	2013
Aiheet:	DRNTU::Engineering::Computer science and engineering
Linkit:	https://hdl.handle.net/10356/97939 http://hdl.handle.net/10220/12380

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