Danial Jahed Armaghani

According to our database1, Danial Jahed Armaghani authored at least 40 papers between 2016 and 2020.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2020
Development of fuzzy-GMDH model optimized by GSA to predict rock tensile strength based on experimental datasets.
Neural Comput. Appl., 2020

The effects of ABC, ICA, and PSO optimization techniques on prediction of ripping production.
Eng. Comput., 2020

The use of new intelligent techniques in designing retaining walls.
Eng. Comput., 2020

Development of a new hybrid ANN for solving a geotechnical problem related to tunnel boring machine performance.
Eng. Comput., 2020

Neuro-genetic, neuro-imperialism and genetic programing models in predicting ultimate bearing capacity of pile.
Eng. Comput., 2020

Development of a novel hybrid intelligent model for solving engineering problems using GS-GMDH algorithm.
Eng. Comput., 2020

The Potential Application of a New Intelligent Based Approach in Predicting the Tensile Strength of Rock.
IEEE Access, 2020

2019
Applying various hybrid intelligent systems to evaluate and predict slope stability under static and dynamic conditions.
Soft Comput., 2019

Three hybrid intelligent models in estimating flyrock distance resulting from blasting.
Eng. Comput., 2019

Improving Performance of Retaining Walls Under Dynamic Conditions Developing an Optimized ANN Based on Ant Colony Optimization Technique.
IEEE Access, 2019

2018
Rock strength estimation: a PSO-based BP approach.
Neural Comput. Appl., 2018

Prediction and minimization of blast-induced flyrock using gene expression programming and firefly algorithm.
Neural Comput. Appl., 2018

Uniaxial compressive strength prediction through a new technique based on gene expression programming.
Neural Comput. Appl., 2018

Airblast prediction through a hybrid genetic algorithm-ANN model.
Neural Comput. Appl., 2018

Feasibility of ICA in approximating ground vibration resulting from mine blasting.
Neural Comput. Appl., 2018

Settlement prediction of the rock-socketed piles through a new technique based on gene expression programming.
Neural Comput. Appl., 2018

Prediction of the durability of limestone aggregates using computational techniques.
Neural Comput. Appl., 2018

Prediction of bearing capacity of thin-walled foundation: a simulation approach.
Eng. Comput., 2018

Optimizing an ANN model with ICA for estimating bearing capacity of driven pile in cohesionless soil.
Eng. Comput., 2018

Implementing an ANN model optimized by genetic algorithm for estimating cohesion of limestone samples.
Eng. Comput., 2018

Optimization of flyrock and rock fragmentation in the Tajareh limestone mine using metaheuristics method of firefly algorithm.
Eng. Comput., 2018

Performance prediction of tunnel boring machine through developing a gene expression programming equation.
Eng. Comput., 2018

2017
An optimized ANN model based on genetic algorithm for predicting ripping production.
Neural Comput. Appl., 2017

Application of PSO to develop a powerful equation for prediction of flyrock due to blasting.
Neural Comput. Appl., 2017

Developing a hybrid PSO-ANN model for estimating the ultimate bearing capacity of rock-socketed piles.
Neural Comput. Appl., 2017

A Monte Carlo technique in safety assessment of slope under seismic condition.
Eng. Comput., 2017

Function development for appraising brittleness of intact rocks using genetic programming and non-linear multiple regression models.
Eng. Comput., 2017

Classification and regression tree technique in estimating peak particle velocity caused by blasting.
Eng. Comput., 2017

Prediction of air-overpressure caused by mine blasting using a new hybrid PSO-SVR model.
Eng. Comput., 2017

Forecasting blast-induced ground vibration developing a CART model.
Eng. Comput., 2017

2016
Combination of neural network and ant colony optimization algorithms for prediction and optimization of flyrock and back-break induced by blasting.
Eng. Comput., 2016

Modification and prediction of blast-induced ground vibrations based on both empirical and computational techniques.
Eng. Comput., 2016

Rock strength assessment based on regression tree technique.
Eng. Comput., 2016

Feasibility of PSO-ANN model for predicting surface settlement caused by tunneling.
Eng. Comput., 2016

Several non-linear models in estimating air-overpressure resulting from mine blasting.
Eng. Comput., 2016

Prediction of seismic slope stability through combination of particle swarm optimization and neural network.
Eng. Comput., 2016

Genetic programing and non-linear multiple regression techniques to predict backbreak in blasting operation.
Eng. Comput., 2016

Application of several non-linear prediction tools for estimating uniaxial compressive strength of granitic rocks and comparison of their performances.
Eng. Comput., 2016

Evaluation and prediction of flyrock resulting from blasting operations using empirical and computational methods.
Eng. Comput., 2016

A combination of the ICA-ANN model to predict air-overpressure resulting from blasting.
Eng. Comput., 2016


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