Control of cyclic variations by computing the cycle-to-cycle air-fuel ratio by neuro fuzzy technique

ISSN： 0264-4401

Source： Engineering Computations: Int J for Computer-Aided Engineering, Vol.24, Iss.8, 2007-11, pp. : 780-792

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

Developing a turbine cycle model using adaptive neuro-fuzzy inference system for Kuosheng nuclear power plant

By Chan Yea-Kuang Gu Jyh-Cherng

Journal of the Chinese Institute of Engineers, Vol. 36, Iss. 5, 2013-07 ,pp. : 577-588

Taylor & Francis Ltd

Access to resources Recommend Favorite

Generalized predictive control using a neuro-fuzzy model

By Hu J. Q. Rose E.

International Journal of Systems Science, Vol. 30, Iss. 1, 1999-01 ,pp. : 117-122

Taylor & Francis Ltd

Access to resources Recommend Favorite

The effect of friction on the performance of an air standard dual cycle

By Wang W. Chen L. Sun F. Wu C.

Exergy, Vol. 2, Iss. 4, 2002-01 ,pp. : 340-344

Elsevier

Access to resources Recommend Favorite

Economic Consequences of Disposing Radioactive Wastes of Fuel-and-Power Cycle Enterprises

Advanced Engineering Forum, Vol. 2017, Iss. 25, 2017-12 ,pp. : 64-70

Trans Tech Publications

Access to resources Recommend Favorite

Modelling of Grewia mollis Stem Bark Gum Extraction Yield Using Neuro-Fuzzy Technique

International Journal of Engineering Research in Africa, Vol. 2018, Iss. 34, 2018-03 ,pp. : 70-80

Trans Tech Publications

Access to resources Recommend Favorite