Modeling minimum temperature using adaptive neuro-fuzzy inference system based on spectral analysis of climate indices: A case study in Iran

Modeling minimum temperature using adaptive neuro-fuzzy inference system based on spectral analysis of climate indices: A case study in Iran

Nowadays, a lot of attention is paid to the application of intelligent systems in predicting natural phenomena. Artificial neural network systems, fuzzy logic, and adaptive neuro-fuzzy inference are used in this field. Daily minimum temperature of the meteorology station of the city of Mashhad, in n...

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Bibliographic Details
Main Authors:	Hojatollah Daneshmand, Taghi Tavousi, Mahmood Khosravi, Saeed Tavakoli
Format:	Article
Language:	English
Published:	Elsevier 2015-01-01
Series:	Journal of the Saudi Society of Agricultural Sciences
Subjects:	Spectral analysis Monthly minimum temperature Climate indices Adaptive neuro-fuzzy inference system Fast Fourier transform
Online Access:	http://www.sciencedirect.com/science/article/pii/S1658077X13000222

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