Hybrid ANN-based techniques in predicting cohesion of sandy-soil combined with fiber

By Danial Jahed Armaghani, F. Mirzaei, Mahdi Shariati, N. Trung, Morteza Shariati, Dragana Trnavac. 2020

117 citations recorded by the source corpus.

Subfields: Civil and Structural Engineering, Safety, Risk, Reliability and Quality

View Paper: https://www.semanticscholar.org/paper/fe301309366ec55bd9a1a4b3ea736380bf3c2f89

How researchers see this paper

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

In Civil and Structural Engineering

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

In Safety, Risk, Reliability and Quality

1. Trung Nguyen-Thoi

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): “If a wolf is categorized in none of the mentioned levels, it is known as a delta ( ) wolf as well [67, 70].”