Work

Creep modelling of polypropylenes using artificial neural networks trained with Bee algorithms

Year: 2015

Type: article

Source: Engineering Applications of Artificial Intelligence

DOI: 10.1016/j.engappai.2015.06.016

Authors: Muharrem Düğenci, Alpay Aydemir, İsmail Esen, Mehmet Emin Aydın

Institutions: Karabük University, Wavin (Netherlands), University of the West of England

Language: English

Topic: Machine Learning in Materials Science

Subfield: Materials Chemistry

Field: Materials Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W801706466

FWCI: 1.488

Cites: 21

Cited by: 18

Related to: 10