A combination of artificial bee colony and neural network for approximating the safety factor of retaining walls

Three hybrid intelligent models in estimating flyrock distance resulting from blasting

(2018) Mohammadreza Koopialipoor et al.   ENGINEERING WITH COMPUTERS

Applying various hybrid intelligent systems to evaluate and predict slope stability under static and dynamic conditions

(2018) Mohammadreza Koopialipoor et al.   SOFT COMPUTING

Analysis of influential factors for predicting the shear strength of a V-shaped angle shear connector in composite beams using an adaptive neuro-fuzzy technique

(2017) I. Mansouri et al.   JOURNAL OF INTELLIGENT MANUFACTURING

Development of hybrid intelligent models for predicting TBM penetration rate in hard rock condition

(2017) Danial Jahed Armaghani et al.   TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY

Higher circulating levels of chemokines CXCL10, CCL20 and CCL22 in patients with ischemic heart disease

(2016) A. Safa et al.   CYTOKINE

Feasibility of PSO-ANN model for predicting surface settlement caused by tunneling

(2016) Mahdi Hasanipanah et al.   ENGINEERING WITH COMPUTERS

Potential of soft computing approach for evaluating the factors affecting the capacity of steel–concrete composite beam

(2016) Ali Toghroli et al.   JOURNAL OF INTELLIGENT MANUFACTURING

Application of PSO to develop a powerful equation for prediction of flyrock due to blasting

(2016) Mahdi Hasanipanah et al.   NEURAL COMPUTING & APPLICATIONS

Potential of adaptive neuro fuzzy inference system for evaluating the factors affecting steel-concrete composite beam's shear strength

(2016) M. Safa et al.   STEEL AND COMPOSITE STRUCTURES

Optimization of retaining wall design using evolutionary algorithms

(2016) Amir H. Gandomi et al.   STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION

The Application of Artificial Bee Colony and Gravitational Search Algorithm in Reservoir Optimization

(2016) Asmadi Ahmad et al.   WATER RESOURCES MANAGEMENT

Prediction and optimization of back-break and rock fragmentation using an artificial neural network and a bee colony algorithm

(2015) Ebrahim Ebrahimi et al.   Bulletin of Engineering Geology and the Environment

Application of several non-linear prediction tools for estimating uniaxial compressive strength of granitic rocks and comparison of their performances

(2015) Danial Jahed Armaghani et al.   ENGINEERING WITH COMPUTERS

Combination of neural network and ant colony optimization algorithms for prediction and optimization of flyrock and back-break induced by blasting

(2015) Amir Saghatforoush et al.   ENGINEERING WITH COMPUTERS

A combination of the ICA-ANN model to predict air-overpressure resulting from blasting

(2015) Danial Jahed Armaghani et al.   ENGINEERING WITH COMPUTERS

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

(2014) Ali Toghroli et al.   STEEL AND COMPOSITE STRUCTURES

Active static and seismic earth pressure for c–φ soils

(2013) Magued Iskander et al.   SOILS AND FOUNDATIONS

New approach for prediction of asphaltene precipitation due to natural depletion by using evolutionary algorithm concept

(2012) Mohammad Ali Ahmadi et al.   FUEL

Particle swarm optimization trained neural network for aquifer parameter estimation

(2012) Sudheer Ch et al.   KSCE Journal of Civil Engineering

Modeling global solar radiation using Particle Swarm Optimization (PSO)

(2012) Mohamed Ahmed Mohandes   SOLAR ENERGY

Earth pressures in confined cohesionless backfill against tall rigid walls — a case history

(2011) Troy S. O’Neal et al.   CANADIAN GEOTECHNICAL JOURNAL

Application of artificial bee colony-based neural network in bottom hole pressure prediction in underbalanced drilling

(2011) Rasoul Irani et al.   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

An artificial bee colony approach for clustering

(2009) Changsheng Zhang et al.   EXPERT SYSTEMS WITH APPLICATIONS

Prediction of uniaxial compressive strength of sandstones using petrography-based models

(2007) K. Zorlu et al.   ENGINEERING GEOLOGY