Work

Predicting the compressive strength of silica fume concrete using hybrid artificial neural network with multi-objective grey wolves

Year: 2018

Type: article

Source: Journal of Cleaner Production

DOI: 10.1016/j.jclepro.2018.08.065

Authors: Ali Behnood, Emadaldin Mohammadi Golafshani

Institutions: Purdue University West Lafayette, Islamic Azad University, Tehran, Islamic Azad University, Science and Research Branch

Language: English

Topic: Concrete and Cement Materials Research

Subfield: Civil and Structural Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W2886514679

FWCI: 24.05

Cites: 70

Cited by: 366

Related to: 9