Prediction of shear capacity of channel shear connectors using the ANFIS model

By N. Sulong, Ali Toghroli, Mohammad Mohammadhassani, Mahdi Shariati, M. Suhatril, Zainah Ibrahim. 2014

177 citations recorded by the source corpus.

Subfields: Building and Construction, Civil and Structural Engineering, Computational Mechanics

View Paper: https://www.semanticscholar.org/paper/debec6ee5120e254bc84f964f004095fb3c771e7

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Building and Construction

1. Trung Nguyen-Thoi
2. Masoud Ahmadi
3. A. Shariati
4. Mahdi Shariati

In Civil and Structural Engineering

1. Trung Nguyen-Thoi
2. Masoud Ahmadi
3. A. Shariati
4. Mahdi Shariati
5. Hung Nguyen-Xuan

In Computational Mechanics

1. Trung Nguyen-Thoi
2. Hung Nguyen-Xuan
3. Guirong Liu
4. Timon Rabczuk
5. Stéphane P.A. Bordas
6. N. Nguyen‐Thanh
7. H. Vu-Do
8. Guiyong Zhang

Citations in the corpus

• A novel hybrid extreme learning machine–grey wolf optimizer (ELM-GWO) model to predict compressive strength of concrete with partial replacements for cement (2020, background): “However, these tests are not only costly but also time-consuming [3, 4].”