Extreme learning machine based prediction of daily dew point temperature-Reference-Cited by-同舟云学术

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Extreme learning machine based prediction of daily dew point temperature

Published:2015-09 Issue: Volume:117 Page:214-225
ISSN:0168-1699
Container-title:Computers and Electronics in Agriculture
language:en
Short-container-title:Computers and Electronics in Agriculture

Author:

Mohammadi Kasra,Shamshirband Shahaboddin,Motamedi Shervin,Petković Dalibor,Hashim Roslan,Gocic Milan

Funder

HIR-MOHE University of Malaya

Publisher

Elsevier BV

Subject

Horticulture,Computer Science Applications,Agronomy and Crop Science,Forestry

Reference63 articles.

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2. Annema, A.J., Hoen, K., Wallinga, H., 1994. Precision requirements for single-layer feedforward neural networks. In: Fourth International Conference on Microelectronics for Neural Networks and Fuzzy Systems. pp. 145–151.

3. Hybridization of evolutionary Levenberg–Marquardt neural networks and data pre-processing for stock market prediction;Asadi;Knowl.-Based Syst.,2012

4. Multi-time scale stream flow predictions: the support vector machines approach;Asefa;J. Hydrol.,2006

5. Neural-network approach to the determination of aquifer parameters;Aziz;Ground Water GRWAAP,1992

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