Support vector regression with reduced training sets for air temperature prediction: a comparison with artificial neural networks

Author： Chevalier Robert Hoogenboom Gerrit McClendon Ronald Paz Joel

Publisher： Springer Publishing Company

ISSN： 0941-0643

Source： Neural Computing & Applications, Vol.20, Iss.1, 2011-02, pp. : 151-159

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

Related content

A comparison between functional networks and artificial neural networks for the prediction of fishing catches

By Iglesias Alfonso Arcay Bernardino Cotos J. Taboada J. Dafonte Carlos

Neural Computing & Applications, Vol. 13, Iss. 1, 2004-04 ,pp. : 24-31

Springer Publishing Company

Access to resources Recommend Favorite

ENSEMBLE ARTIFICIAL NEURAL NETWORKS FOR PREDICTION OF DEW POINT TEMPERATURE

By Shank D. B.

Applied Artificial Intelligence, Vol. 22, Iss. 6, 2008-07 ,pp. : 523-542

Taylor & Francis Ltd

Access to resources Recommend Favorite

A comparison of reduced support vector machines

By Zheng Lihong He Xiangjian

International Journal of Intelligent Systems Technologies and Applications, Vol. 4, Iss. 3-4, 2008-02 ,pp. : 301-312

Inderscience Publishers

Access to resources Recommend Favorite

Reliability prediction using support vector regression

By Fuqing Yuan

International Journal of Systems Assurance Engineering and Management, Vol. 1, Iss. 3, 2010-09 ,pp. : 263-268

Springer Publishing Company

Access to resources Recommend Favorite

Artificial neural networks and support vector machines with genetic algorithm for bearing fault detection

By Samanta B. Al-Balushi K.R. Al-Araimi S.A.

Engineering Applications of Artificial Intelligence, Vol. 16, Iss. 7, 2003-10 ,pp. : 657-665

Elsevier

Access to resources Recommend Favorite