Modeling of glycolysis of flexible polyurethane foam wastes by artificial neural network methodology

Publisher： John Wiley & Sons Inc

E-ISSN： 1097-0126|64|9|1111-1120

ISSN： 0959-8103

Source： POLYMER INTERNATIONAL, Vol.64, Iss.9, 2015-09, pp. : 1111-1120

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 Networks Modeling of Electrospun Polyurethane Nanofibers from Chloroform/Methanol Solution

By  

Journal of Nano Research, Vol. 2016, Iss. 41, 2016-06 ,pp. : 18-30

Trans Tech Publications

Access to resources Recommend Favorite

Structure Development and Interfacial Interactions in Flexible Polyurethane Foam-Layered Silicate Nanocomposites

By Wilkinson Arthur N.  

Composite Interfaces, Vol. 17, Iss. 5-7, 2010-07 ,pp. : 423-436

Taylor & Francis Ltd

Access to resources Recommend Favorite

Predicting Contact Angle of Electrospun PAN Nanofiber Mat Using Artificial Neural Network and Response Surface Methodology

By  

ADVANCES IN POLYMER TECHNOLOGY, Vol. 32, Iss. 4, 2013-12 ,pp. : n/a-n/a

John Wiley & Sons Inc

Access to resources Recommend Favorite

A new logit‐artificial neural network ensemble for mode choice modeling: a case study for border transport

By  

JOURNAL OF ADVANCED TRANSPORTATION, Vol. 49, Iss. 8, 2015-12 ,pp. : 855-866

John Wiley & Sons Inc

Access to resources Recommend Favorite

Starch foam material performance prediction based on a radial basis function artificial neural network trained by bare‐bones particle swarm optimization with an adaptive disturbance factor

By  

JOURNAL OF APPLIED POLYMER SCIENCE, Vol. 133, Iss. 47, 2016-12 ,pp. : n/a-n/a

John Wiley & Sons Inc

Access to resources Recommend Favorite