4.6 Article

A SVR-GWO technique to minimize flyrock distance resulting from blasting

Related references

Note: Only part of the references are listed.
Article Computer Science, Interdisciplinary Applications

Deep neural network and whale optimization algorithm to assess flyrock induced by blasting

Hongquan Guo et al.

Summary: This study developed a deep neural network (DNN) model to predict flyrock induced by blasting, which showed a significant increase in prediction accuracy compared to an artificial neural network (ANN) model. The DNN model, optimized using the whale optimization algorithm (WOA), successfully minimized flyrock resulting from blasting and provided a suitable pattern for blasting operations in mines.

ENGINEERING WITH COMPUTERS (2021)

Article Computer Science, Interdisciplinary Applications

Applying a meta-heuristic algorithm to predict and optimize compressive strength of concrete samples

Lei Sun et al.

Summary: This study used MH algorithms to evaluate the compressive strength of concrete specimens and establish relationships between various parameters. It identified important factors influencing concrete strength and presented optimal conditions for compressive strength of concrete samples using the developed model. The MH algorithms were shown to be effective substitutes for empirical models in this research.

ENGINEERING WITH COMPUTERS (2021)

Article Computer Science, Interdisciplinary Applications

Investigating the effective parameters on the risk levels of rockburst phenomena by developing a hybrid heuristic algorithm

Jian Zhou et al.

Summary: This paper integrates the firefly algorithm and artificial neural network to accurately predict the risk of rockburst in deep mines and tunnels. The hybrid model successfully determines different hazard levels under various conditions and offers new solutions for classification based on success rates.

ENGINEERING WITH COMPUTERS (2021)

Article Computer Science, Interdisciplinary Applications

A Monte Carlo simulation approach for effective assessment of flyrock based on intelligent system of neural network

Jian Zhou et al.

ENGINEERING WITH COMPUTERS (2020)

Article Geosciences, Multidisciplinary

Prediction of Blast-induced Air Over-pressure in Open-Pit Mine: Assessment of Different Artificial Intelligence Techniques

Xuan-Nam Bui et al.

NATURAL RESOURCES RESEARCH (2020)

Article Geosciences, Multidisciplinary

Prediction of Flyrock in Mine Blasting: A New Computational Intelligence Approach

Hima Nikafshan Rad et al.

NATURAL RESOURCES RESEARCH (2020)

Article Computer Science, Interdisciplinary Applications

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

Wusi Chen et al.

ENGINEERING WITH COMPUTERS (2020)

Article Geosciences, Multidisciplinary

Use of Intelligent Methods to Design Effective Pattern Parameters of Mine Blasting to Minimize Flyrock Distance

Jian Zhou et al.

NATURAL RESOURCES RESEARCH (2020)

Article Computer Science, Interdisciplinary Applications

The use of new intelligent techniques in designing retaining walls

Mohammadreza Koopialipoor et al.

ENGINEERING WITH COMPUTERS (2020)

Article Computer Science, Interdisciplinary Applications

Development of a new hybrid ANN for solving a geotechnical problem related to tunnel boring machine performance

Mohammadreza Koopialipoor et al.

ENGINEERING WITH COMPUTERS (2020)

Article Computer Science, Artificial Intelligence

Self-compacting concrete strength prediction using surrogate models

Panagiotis G. Asteris et al.

NEURAL COMPUTING & APPLICATIONS (2019)

Article Computer Science, Interdisciplinary Applications

Three hybrid intelligent models in estimating flyrock distance resulting from blasting

Mohammadreza Koopialipoor et al.

ENGINEERING WITH COMPUTERS (2019)

Article Computer Science, Artificial Intelligence

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

Mohammadreza Koopialipoor et al.

SOFT COMPUTING (2019)

Article Engineering, Environmental

Predicting tunnel boring machine performance through a new model based on the group method of data handling

Mohammadreza Koopialipoor et al.

BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT (2019)

Article Environmental Sciences

Developing a new intelligent technique to predict overbreak in tunnels using an artificial bee colony-based ANN

Mohammadreza Koopialipoor et al.

ENVIRONMENTAL EARTH SCIENCES (2019)

Article Engineering, Environmental

Application of deep neural networks in predicting the penetration rate of tunnel boring machines

Mohammadreza Koopialipoor et al.

BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT (2019)

Article Chemistry, Multidisciplinary

Random Forests and Cubist Algorithms for Predicting Shear Strengths of Rockfill Materials

Jian Zhou et al.

APPLIED SCIENCES-BASEL (2019)

Article Engineering, Multidisciplinary

A new hybrid method for predicting ripping production in different weathering zones through in situ tests

Edy Tonnizam Mohamad et al.

MEASUREMENT (2019)

Article Materials Science, Characterization & Testing

A new approach for estimation of rock brittleness based on non-destructive tests

Mohammadreza Koopialipoor et al.

NONDESTRUCTIVE TESTING AND EVALUATION (2019)

Article Computer Science, Interdisciplinary Applications

Overbreak prediction and optimization in tunnel using neural network and bee colony techniques

Mohammadreza Koopialipoor et al.

ENGINEERING WITH COMPUTERS (2019)

Article Chemistry, Multidisciplinary

Invasive Weed Optimization Technique-Based ANN to the Prediction of Rock Tensile Strength

Lei Huang et al.

APPLIED SCIENCES-BASEL (2019)

Article Engineering, Environmental

A neuro-genetic predictive model to approximate overbreak induced by drilling and blasting operation in tunnels

Mohammadreza Koopialipoor et al.

BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT (2019)

Article Engineering, Geological

Application of several optimization techniques for estimating TBM advance rate in granitic rocks

Danial Jahed Armaghani et al.

JOURNAL OF ROCK MECHANICS AND GEOTECHNICAL ENGINEERING (2019)

Article Computer Science, Artificial Intelligence

Prediction and minimization of blast-induced flyrock using gene expression programming and firefly algorithm

Roohollah Shirani Faradonbeh et al.

NEURAL COMPUTING & APPLICATIONS (2018)

Article Computer Science, Artificial Intelligence

Experienced Gray Wolf Optimization Through Reinforcement Learning and Neural Networks

E. Emary et al.

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2018)

Article Engineering, Geological

Charge design scheme optimization for ring blasting based on the developed Scaled Heelan model

Mingzheng Wang et al.

INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES (2018)

Article Environmental Sciences

Development of a precise model for prediction of blast-induced flyrock using regression tree technique

Mahdi Hasanipanah et al.

ENVIRONMENTAL EARTH SCIENCES (2017)

Article Computer Science, Artificial Intelligence

Anisotropic masonry failure criterion using artificial neural networks

Panagiotis G. Asteris et al.

NEURAL COMPUTING & APPLICATIONS (2017)

Article Engineering, Multidisciplinary

System Reliability Optimization Using Gray Wolf Optimizer Algorithm

Anuj Kumar et al.

QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL (2017)

Article Computer Science, Interdisciplinary Applications

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

Amir Saghatforoush et al.

ENGINEERING WITH COMPUTERS (2016)

Article Computer Science, Interdisciplinary Applications

Evaluation and prediction of flyrock resulting from blasting operations using empirical and computational methods

D. Jahed Armaghani et al.

ENGINEERING WITH COMPUTERS (2016)

Article Engineering, Environmental

Development of a new model for predicting flyrock distance in quarry blasting: a genetic programming technique

Roohollah Shirani Faradonbeh et al.

BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT (2016)

Article Engineering, Geological

Genetic programming and gene expression programming for flyrock assessment due to mine blasting

Roohollah Shirani Faradonbeh et al.

INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES (2016)

Article Computer Science, Artificial Intelligence

CLASSIFICATION OF SONAR DATA SET USING NEURAL NETWORK TRAINED BY GRAY WOLF OPTIMIZATION

M. R. Mosavi et al.

NEURAL NETWORK WORLD (2016)

Article Geosciences, Multidisciplinary

Application of two intelligent systems in predicting environmental impacts of quarry blasting

Danial Jahed Armaghani et al.

ARABIAN JOURNAL OF GEOSCIENCES (2015)

Article Engineering, Geological

Prediction of Blast-Induced Flyrock in Opencast Mines Using ANN and ANFIS

Ratnesh Trivedi et al.

GEOTECHNICAL AND GEOLOGICAL ENGINEERING (2015)

Proceedings Paper Computer Science, Artificial Intelligence

Feature Subset Selection Approach by Gray-Wolf Optimization

E. Emary et al.

AFRO-EUROPEAN CONFERENCE FOR INDUSTRIAL ADVANCEMENT, AECIA 2014 (2015)

Article Computer Science, Interdisciplinary Applications

Grey Wolf Optimizer

Seyedali Mirjalili et al.

ADVANCES IN ENGINEERING SOFTWARE (2014)

Article Geosciences, Multidisciplinary

Application of artificial intelligence techniques for predicting the flyrock distance caused by blasting operation

Ebrahim Ghasemi et al.

ARABIAN JOURNAL OF GEOSCIENCES (2014)

Article Geosciences, Multidisciplinary

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

D. Jahed Armaghani et al.

ARABIAN JOURNAL OF GEOSCIENCES (2014)

Review Engineering, Environmental

Flyrock in bench blasting: a comprehensive review

A. K. Raina et al.

BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT (2014)

Article Engineering, Geological

A support vector regression model for predicting tunnel boring machine penetration rates

Satar Mahdevari et al.

INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES (2014)

Article Engineering, Geological

Prediction of blast-induced flyrock in Indian limestone mines using neural networks

R. Trivedi et al.

JOURNAL OF ROCK MECHANICS AND GEOTECHNICAL ENGINEERING (2014)

Article Computer Science, Artificial Intelligence

Evaluation of effect of blast design parameters on flyrock using artificial neural networks

M. Monjezi et al.

NEURAL COMPUTING & APPLICATIONS (2013)

Article Engineering, Marine

GMDH based back propagation algorithm to predict abutment scour in cohesive soils

Mohammad Najafzadeh et al.

OCEAN ENGINEERING (2013)

Article Engineering, Geological

Prediction of Backbreak in Open-Pit Blasting Operations Using the Machine Learning Method

Manoj Khandelwal et al.

ROCK MECHANICS AND ROCK ENGINEERING (2013)

Article Engineering, Civil

Identification of a suitable ANN architecture in predicting strain in tie section of concrete deep beams

Mohammad Mohammadhassani et al.

STRUCTURAL ENGINEERING AND MECHANICS (2013)

Article Geosciences, Multidisciplinary

Prediction of flyrock and backbreak in open pit blasting operation: a neuro-genetic approach

M. Monjezi et al.

ARABIAN JOURNAL OF GEOSCIENCES (2012)

Article Engineering, Geological

Development of an empirical model for predicting the effects of controllable blasting parameters on flyrock distance in surface mines

Ebrahim Ghasemi et al.

INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES (2012)

Article Computer Science, Artificial Intelligence

Evaluation of flyrock phenomenon due to blasting operation by support vector machine

Hasel Amini et al.

NEURAL COMPUTING & APPLICATIONS (2012)

Article Geosciences, Multidisciplinary

Prediction and controlling of flyrock in blasting operation using artificial neural network

M. Monjezi et al.

ARABIAN JOURNAL OF GEOSCIENCES (2011)

Article Environmental Sciences

Classification of slopes and prediction of factor of safety using differential evolution neural networks

Sarat Kumar Das et al.

ENVIRONMENTAL EARTH SCIENCES (2011)

Article Engineering, Industrial

Development of a fuzzy model to predict flyrock in surface mining

M. Rezaei et al.

SAFETY SCIENCE (2011)

Article Engineering, Geological

Simultaneous prediction of fragmentation and flyrock in blasting operation using artificial neural networks

M. Monjezi et al.

INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES (2010)

Article Engineering, Geological

Prediction of blast-induced ground vibration using artificial neural network

Manoj Khandelwal et al.

INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES (2009)

Article Engineering, Industrial

Flyrock phenomena and area security in blasting-related accidents

V Kecojevic et al.

SAFETY SCIENCE (2005)

Article Computer Science, Artificial Intelligence

An improved backpropagation algorithm to avoid the local minima problem

XG Wang et al.

NEUROCOMPUTING (2004)

Article Ergonomics

Blasting injuries in surface mining with emphasis on flyrock and blast area security

TS Bajpayee et al.

JOURNAL OF SAFETY RESEARCH (2004)