Related references
Note: Only part of the references are listed.An extreme learning machine model for geosynthetic-reinforced sandy soil foundations
Muhammad Nouman Amjad Raja et al.
PROCEEDINGS OF THE INSTITUTION OF CIVIL ENGINEERS-GEOTECHNICAL ENGINEERING (2022)
Application of soft computing methods to estimate uniaxial compressive strength and elastic modulus of soft sedimentary rocks
Niaz Muhammad Shahani et al.
Arabian Journal of Geosciences (2022)
An intelligent approach for predicting the strength of geosynthetic-reinforced subgrade soil
Muhammad Nouman Amjad Raja et al.
INTERNATIONAL JOURNAL OF PAVEMENT ENGINEERING (2022)
Soft Computing-Based Models for Predicting the Characteristic Impedance of Igneous Rock from Their Physico-mechanical Properties
Adeyemi Emman Aladejare et al.
ROCK MECHANICS AND ROCK ENGINEERING (2022)
Evaluation of Soft Computing Methods for Estimating Tangential Young Modulus of Intact Rock Based on Statistical Performance Indices
Ekin Koken et al.
GEOTECHNICAL AND GEOLOGICAL ENGINEERING (2022)
Multivariate adaptive regression splines model for reinforced soil foundations
M. N. A. Raja et al.
GEOSYNTHETICS INTERNATIONAL (2021)
Predicting the settlement of geosynthetic-reinforced soil foundations using evolutionary artificial intelligence technique
Muhammad Nouman Amjad Raja et al.
GEOTEXTILES AND GEOMEMBRANES (2021)
Applying several machine learning approaches for prediction of unconfined compressive strength of stabilized pond ashes
Manju Suthar
NEURAL COMPUTING & APPLICATIONS (2020)
An ensemble tree-based machine learning model for predicting the uniaxial compressive strength of travertine rocks
Rahim Barzegar et al.
NEURAL COMPUTING & APPLICATIONS (2020)
A Gaussian process machine learning model for cemented rockfill strength prediction at a diamond mine
Yuanyuan Pu et al.
NEURAL COMPUTING & APPLICATIONS (2020)
Concrete compressive strength using artificial neural networks
Panagiotis G. Asteris et al.
NEURAL COMPUTING & APPLICATIONS (2020)
Applying Statistical Analysis and Machine Learning for Modeling the UCS from P-Wave Velocity, Density and Porosity on Dry Travertine
Manuel Saldana et al.
APPLIED SCIENCES-BASEL (2020)
Comparative evaluation of different statistical tools for the prediction of uniaxial compressive strength of rocks
Ahmet Teymen et al.
INTERNATIONAL JOURNAL OF MINING SCIENCE AND TECHNOLOGY (2020)
Prediction of the uniaxial compressive strength of rocks from simple index tests using a random forest predictive model
Min Wang et al.
COMPTES RENDUS MECANIQUE (2020)
A comparative study of various hybrid neural networks and regression analysis to predict unconfined compressive strength of travertine
Mohammad Ebdali et al.
INNOVATIVE INFRASTRUCTURE SOLUTIONS (2020)
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)
Modeling of unconfined compressive strength of soil-RAP blend stabilized with Portland cement using multivariate adaptive regression spline
Ali Reza Ghanizadeh et al.
FRONTIERS OF STRUCTURAL AND CIVIL ENGINEERING (2019)
The Improved Antlion Optimizer and Artificial Neural Network for Chinese Influenza Prediction
Hongping Hu et al.
COMPLEXITY (2019)
Comparative investigation of Shore, Schmidt, and Leeb hardness tests in the characterization of rock materials
Sefer Beran Celik et al.
ENVIRONMENTAL EARTH SCIENCES (2019)
Gaussian process regression-based forecasting model of dam deformation
Chaoning Lin et al.
NEURAL COMPUTING & APPLICATIONS (2019)
Invasive Weed Optimization Technique-Based ANN to the Prediction of Rock Tensile Strength
Lei Huang et al.
APPLIED SCIENCES-BASEL (2019)
Three decades of the Shuffled Complex Evolution (SCE-UA) optimization algorithm: Review and applications
M. Rahnamay Naeini et al.
SCIENTIA IRANICA (2019)
Developing GPR model for forecasting the rock fragmentation in surface mines
Wei Gao et al.
ENGINEERING WITH COMPUTERS (2018)
Uniaxial compressive strength prediction through a new technique based on gene expression programming
Danial Jahed Armaghani et al.
NEURAL COMPUTING & APPLICATIONS (2018)
Teaching-Learning-Based Optimization with Learning Enthusiasm Mechanism and Its Application in Chemical Engineering
Xu Chen et al.
Journal of Applied Mathematics (2018)
An Ant-Lion Optimizer-Trained Artificial Neural Network System for Chaotic Electroencephalogram (EEG) Prediction
Utku Kose
APPLIED SCIENCES-BASEL (2018)
Prediction of Uniaxial Compressive Strength of Some Sedimentary Rocks by Fuzzy and Regression Models
Mojtaba Heidari et al.
GEOTECHNICAL AND GEOLOGICAL ENGINEERING (2018)
Optimal parameters and performance of artificial bee colony algorithm for minimum cost design of reinforced concrete frames
Assanai Tapao et al.
ENGINEERING STRUCTURES (2017)
Comparison of models for estimating uniaxial compressive strength of some sedimentary rocks from Qom Formation
Seyed Hossein Jalali et al.
ENVIRONMENTAL EARTH SCIENCES (2017)
Characterization of rock weathering using elastic waves: A Laboratory-scale experimental study
Jong-Sub Lee et al.
JOURNAL OF APPLIED GEOPHYSICS (2017)
Investigation into engineering parameters of marls from Seydoon dam in Iran
Sohrab Salehin
JOURNAL OF ROCK MECHANICS AND GEOTECHNICAL ENGINEERING (2017)
Applying soft computing methods to predict the uniaxial compressive strength of rocks from schmidt hammer rebound values
Hadi Fattahi
COMPUTATIONAL GEOSCIENCES (2017)
Application of several non-linear prediction tools for estimating uniaxial compressive strength of granitic rocks and comparison of their performances
Danial Jahed Armaghani et al.
ENGINEERING WITH COMPUTERS (2016)
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)
Correlating physico-mechanical properties of intact rocks with P-wave velocity
C. Kurtulus et al.
ACTA GEODAETICA ET GEOPHYSICA (2016)
Artificial bee colony algorithm with memory
Xianneng Li et al.
APPLIED SOFT COMPUTING (2016)
Prediction of the uniaxial compressive strength of sandstone using various modeling techniques
Danial Jahed Armaghani et al.
INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES (2016)
Prediction of compressive strength and elastic modulus of carbonate rocks
N. Madhubabu et al.
MEASUREMENT (2016)
Estimating Compressive Strength of High Performance Concrete with Gaussian Process Regression Model
Nhat-Duc Hoang et al.
ADVANCES IN CIVIL ENGINEERING (2016)
Comparative evaluation of artificial intelligence models for prediction of uniaxial compressive strength of travertine rocks, Case study: Azarshahr area, NW Iran
Rahim Barzegar et al.
MODELING EARTH SYSTEMS AND ENVIRONMENT (2016)
Prediction of Drillability of Rocks with Strength Properties Using a Hybrid GA-ANN Technique
Manoj Khandelwal et al.
GEOTECHNICAL AND GEOLOGICAL ENGINEERING (2016)
The Ant Lion Optimizer
Seyedali Mirjalili
ADVANCES IN ENGINEERING SOFTWARE (2015)
Soft computing methods for estimating the uniaxial compressive strength of intact rock from index tests
D. A. Mishra et al.
INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES (2015)
Prediction of uniaxial compressive strength of rock samples using hybrid particle swarm optimization-based artificial neural networks
Ehsan Momeni et al.
MEASUREMENT (2015)
Application of artificial neural networks and multivariate statistics to predict UCS and E using physical properties of Asmari limestones
M. Torabi-Kaveh et al.
ARABIAN JOURNAL OF GEOSCIENCES (2015)
An adaptive neuro-fuzzy inference system for predicting unconfined compressive strength and Young's modulus: a study on Main Range granite
Danial Jahed Armaghani et al.
BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT (2015)
Prediction of the unconfined compressive strength of soft rocks: a PSO-based ANN approach
Edy Tonnizam Mohamad et al.
BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT (2015)
Model selection in multivariate adaptive regression splines (MARS) using information complexity as the fitness function
Elcin Kartal Koc et al.
MACHINE LEARNING (2015)
Evaluation of the ratio between uniaxial compressive strength and Schmidt hammer rebound number and its effectiveness in predicting rock strength
Levent Selcuk et al.
NONDESTRUCTIVE TESTING AND EVALUATION (2015)
A survey on the Imperialist Competitive Algorithm metaheuristic: Implementation in engineering domain and directions for future research
Seyedmohsen Hosseini et al.
APPLIED SOFT COMPUTING (2014)
Finite element based hybrid evolutionary optimization approach to solving rigid pavement inversion problem
Halil Ceylan et al.
ENGINEERING WITH COMPUTERS (2014)
New weathering classifications for granitic rocks based on geomechanical parameters
M. Heidari et al.
ENGINEERING GEOLOGY (2013)
Estimation of uniaxial compressive strength of rock materials by index tests using regression analysis and fuzzy inference system
D. A. Mishra et al.
ENGINEERING GEOLOGY (2013)
Teaching-learning-based optimization algorithm for unconstrained and constrained real-parameter optimization problems
R. V. Rao et al.
ENGINEERING OPTIMIZATION (2012)
Teaching-learning-based optimization: A novel method for constrained mechanical design optimization problems
R. V. Rao et al.
COMPUTER-AIDED DESIGN (2011)
Predicting intact rock strength for mechanical excavation using multivariate statistics, artificial neural networks, and regression trees
Bulent Tiryaki
ENGINEERING GEOLOGY (2008)
A powerful and efficient algorithm for numerical function optimization: artificial bee colony (ABC) algorithm
Dervis Karaboga et al.
JOURNAL OF GLOBAL OPTIMIZATION (2007)
Imperialist competitive algorithm: An algorithm for optimization inspired by imperialistic competition
Esmaeil Atashpaz-Gargari et al.
2007 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1-10, PROCEEDINGS (2007)
Ant colony optimization: Introduction and recent trends
Christian Blum
PHYSICS OF LIFE REVIEWS (2005)