Artificial-Neural-Network-Based Identification of a Modified Dynamic Preisach Model

Author： Sunny Mohammed R.   Kapania Rakesh K.  

Publisher： Taylor & Francis Ltd

ISSN： 1550-2287

Source： International Journal for Computational Methods in Engineering Science and Mech, Vol.15, Iss.1, 2014-01, pp. : 45-53

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

Artificial Neural Network (ANN) Model for Prediction of Mixing Behavior of Granular Flows

By Mujumdar Ajit  

International Journal for Computational Methods in Engineering Science and Mech, Vol. 8, Iss. 3, 2007-05 ,pp. : 149-158

Taylor & Francis Ltd

Access to resources Recommend Favorite

Data traffic filtration of automated non-destructive testing based on an artificial neural network

By  

ITM Web of conferences, Vol. 18, Iss. issue, 2018-04 ,pp. : 04003-04003

Edp Sciences

Access to resources Recommend Favorite

Periodic travelling waves in an artificial neural network

By Cheng Sui Sun   Lin Jian Jhong  

Journal of Difference Equations and Applications, Vol. 15, Iss. 10, 2009-11 ,pp. : 963-999

Taylor & Francis Ltd

Access to resources Recommend Favorite

A New Method for Adaptive Model-Based Control of Dynamic Industrial Plants using Neural Networks, Fuzzy Logic and Fractal Theory

By Patricia Melin   Oscar Castillo  

Systems Analysis Modelling Simulation, Vol. 43, Iss. 1, 2003-01 ,pp. : 1-15

Taylor & Francis Ltd

Access to resources Recommend Favorite

Novel method of virtual embryogenesis for structuring Artificial Neural Network controllers

By Thenius Ronald   Bodi Michael   Schmickl Thomas   Crailsheim Karl  

Mathematical and Computer Modelling of Dynamical Systems, Vol. 19, Iss. 4, 2013-08 ,pp. : 375-387

Taylor & Francis Ltd

Access to resources Recommend Favorite