Parametric Identification of Control Systems Using Artificial Neural Networks

E-ISSN： 2261-236x|37|issue|01064-01064

ISSN： 2261-236x

Source： MATEC Web of conference, Vol.37, Iss.issue, 2015-12, pp. : 01064-01064

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

Abstract

Related content

Using Artificial Neural Networks for Modeling BNR Processes

By Hill Robert Brown Jeanette Dabkowski Bob

Proceedings of the Water Environment Federation, Vol. 2010, Iss. 9, 2010-01 ,pp. : 7177-7191

Water Environment Federation

Access to resources Recommend Favorite

Artificial neural networks as the data ruling components of future intelligent energy systems

MATEC Web of conference, Vol. 141, Iss. issue, 2017-12 ,pp. : 01049-01049

Edp Sciences

Access to resources Recommend Favorite

Modeling of SO₂ distribution in Istanbul using artificial neural networks

By Sahin Ulku Ucan Osman Bayat Cuma Oztorun Namık

Environmental Modeling and Assessment, Vol. 10, Iss. 2, 2005-06 ,pp. : 135-142

Springer Publishing Company

Access to resources Recommend Favorite

Modeling a Full-Scale Primary Sedimentation Tank Using Artificial Neural Networks

By Gamal El-Din A. Smith D. W.

Environmental Technology, Vol. 23, Iss. 5, 2002-05 ,pp. : 479-496

Taylor & Francis Ltd

Access to resources Recommend Favorite

Prediction of Ground Level SO 2 Concentration using Artificial Neural Networks

By Saral A.

Water, Air and Soil Pollution: Focus, Vol. 3, Iss. 5-6, 2003-01 ,pp. : 307-316

Springer Publishing Company

Access to resources Recommend Favorite