Blasting-induced flyrock and ground vibration prediction through an expert artificial neural network based on particle swarm optimization

By Danial Jahed Armaghani, M. Hajihassani, E. T. Mohamad, A. Marto, Seyed Ahmad Noorani. Arabian Journal of Geosciences, 2014

366 citations recorded by the source corpus.

Subfields: Civil and Structural Engineering, Mechanics of Materials

View Paper: https://www.semanticscholar.org/paper/83fb730a6154f0d492a5083e3442cb9170d7019d

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. Jian Zhou

In Mechanics of Materials

1. Chuanqi Li
2. Yingui Qiu
3. Manoj Khandelwal
4. Jian Zhou

Citations in the corpus

• Performance evaluation of hybrid WOA-XGBoost, GWO-XGBoost and BO-XGBoost models to predict blast-induced ground vibration (2021, methodology): “[2] applied the adaptive neuro-fuzzy inference system (ANFIS) to estimate the PPV induced by blasting.”