Selection and validation of predictive regression and neural network models based on designed experiments

Author： Feng Chang-Xue  

Publisher： Taylor & Francis Ltd

ISSN： 0740-817X

Source： IIE Transactions, Vol.38, Iss.1, 2006-01, pp. : 13-23

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

Predictive control based on neural network models with I/O feedback linearization

By Botto Miguel Ayala   Boom Ton J. J. Van Den   Krijgsman Ardjan   Costa Jose Sa Da  

International Journal of Control, Vol. 72, Iss. 17, 1999-11 ,pp. : 1538-1554

Taylor & Francis Ltd

Access to resources Recommend Favorite

Order and delay selection for neural network modelling by identification of linearized models

By Gomm J. B.   Yu D. L.  

International Journal of Systems Science, Vol. 31, Iss. 10, 2000-10 ,pp. : 1273-1283

Taylor & Francis Ltd

Access to resources Recommend Favorite

The selection of milling parameters by the PSO-based neural network modeling method

By Farahnakian Masoud  

The International Journal of Advanced Manufacturing Technology, Vol. 57, Iss. 1-4, 2011-11 ,pp. : 49-60

Springer Publishing Company

Access to resources Recommend Favorite

A validation framework for predictive human models

By Rahmatalla Salam   Xiang Yujiang   Smith Rosalind   Meusch John   Bhatt Rajankumar  

International Journal of Human Factors Modelling and Simulation, Vol. 2, Iss. 1-2, 2011-07 ,pp. : 67-84

Inderscience Publishers

Access to resources Recommend Favorite

Generalized regression neural network in monthly flow forecasting

By Cigizoglu Hi˙kmet  

Civil Engineering and Environmental Systems, Vol. 22, Iss. 2, 2005-06 ,pp. : 71-81

Taylor & Francis Ltd

Access to resources Recommend Favorite