相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。被撤回的出版物: 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the shear strength of a V-shaped angle shear connector in composite beams using an adaptive neuro-fuzzy technique (Retracted article. See vol. 31, pg. 267, 2020)
I. Mansouri et al.
JOURNAL OF INTELLIGENT MANUFACTURING (2019)
An intelligent based-model role to simulate the factor of safe slope by support vector regression
Puteri Azura Sari et al.
ENGINEERING WITH COMPUTERS (2019)
A novel nonlinear modeling for the prediction of blast-induced airblast using a modified conjugate FR method
Behrooz Keshtegar et al.
MEASUREMENT (2019)
Proposing a new model to approximate the elasticity modulus of granite rock samples based on laboratory tests results
Katayoun Behzadafshar et al.
BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT (2019)
被撤回的出版物: Potential of soft computing approach for evaluating the factors affecting the capacity of steel-concrete composite beam (Retracted article. See vol. 31, pg. 1311, 2020)
Ali Toghroli et al.
JOURNAL OF INTELLIGENT MANUFACTURING (2018)
Feasibility of ICA in approximating ground vibration resulting from mine blasting
Danial Jahed Armaghani et al.
NEURAL COMPUTING & APPLICATIONS (2018)
Feasibility of PSO-ANFIS model to estimate rock fragmentation produced by mine blasting
Mahdi Hasanipanah et al.
NEURAL COMPUTING & APPLICATIONS (2018)
Developing GPR model for forecasting the rock fragmentation in surface mines
Wei Gao et al.
ENGINEERING WITH COMPUTERS (2018)
Developing a least squares support vector machine for estimating the blast-induced flyrock
Hima Nikafshan Rad et al.
ENGINEERING WITH COMPUTERS (2018)
Prediction of an environmental issue of mine blasting: an imperialistic competitive algorithm-based fuzzy system
M. Hasanipanah et al.
INTERNATIONAL JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY (2018)
Development of GP and GEP models to estimate an environmental issue induced by blasting operation
Roohollah Shirani Faradonbeh et al.
ENVIRONMENTAL MONITORING AND ASSESSMENT (2018)
A Risk-Based Technique to Analyze Flyrock Results Through Rock Engineering System
Mahdi Hasanipanah et al.
GEOTECHNICAL AND GEOLOGICAL ENGINEERING (2018)
Developing a new hybrid-AI model to predict blast-induced backbreak
Mahdi Hasanipanah et al.
ENGINEERING WITH COMPUTERS (2017)
A hybrid artificial bee colony algorithm-artificial neural network for forecasting the blast-produced ground vibration
Khalil Taheri et al.
ENGINEERING WITH COMPUTERS (2017)
Forecasting blast-induced ground vibration developing a CART model
Mahdi Hasanipanah et al.
ENGINEERING WITH COMPUTERS (2017)
Development of a precise model for prediction of blast-induced flyrock using regression tree technique
Mahdi Hasanipanah et al.
ENVIRONMENTAL EARTH SCIENCES (2017)
Application of PSO to develop a powerful equation for prediction of flyrock due to blasting
Mahdi Hasanipanah et al.
NEURAL COMPUTING & APPLICATIONS (2017)
Estimation of blast-induced ground vibration through a soft computing framework
Mahdi Hasanipanah et al.
ENGINEERING WITH COMPUTERS (2017)
Evaluation of blast-induced ground vibrations in open-pit mines by using adaptive neuro- fuzzy inference systems
Arzu Kocaslan et al.
ENVIRONMENTAL EARTH SCIENCES (2017)
A new developed approach for the prediction of ground vibration using a hybrid PSO-optimized ANFIS-based model
Azam Shahnazar et al.
ENVIRONMENTAL EARTH SCIENCES (2017)
Development of hybrid intelligent models for predicting TBM penetration rate in hard rock condition
Danial Jahed Armaghani et al.
TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY (2017)
A combination of the ICA-ANN model to predict air-overpressure resulting from blasting
Danial Jahed Armaghani et al.
ENGINEERING WITH COMPUTERS (2016)
Feasibility of PSO-ANN model for predicting surface settlement caused by tunneling
Mahdi Hasanipanah et al.
ENGINEERING WITH COMPUTERS (2016)
A new combination of artificial neural network and K-nearest neighbors models to predict blast-induced ground vibration and air-overpressure
Maryam Amiri et al.
ENGINEERING WITH COMPUTERS (2016)
Estimation of air-overpressure produced by blasting operation through a neuro-genetic technique
Edy Tonnizam Mohamad et al.
ENVIRONMENTAL EARTH SCIENCES (2016)
Risk assessment and prediction of rock fragmentation produced by blasting operation: a rock engineering system
Mahdi Hasanipanah et al.
ENVIRONMENTAL EARTH SCIENCES (2016)
Potential of adaptive neuro fuzzy inference system for evaluating the factors affecting steel-concrete composite beam's shear strength
M. Safa et al.
STEEL AND COMPOSITE STRUCTURES (2016)
Strength prediction of rotary brace damper using MLR and MARS
I. Mansouri et al.
STRUCTURAL ENGINEERING AND MECHANICS (2016)
Application of two intelligent systems in predicting environmental impacts of quarry blasting
Danial Jahed Armaghani et al.
ARABIAN JOURNAL OF GEOSCIENCES (2015)
Spatial variability of rock depth using adaptive neuro-fuzzy inference system (ANFIS) and multivariate adaptive regression spline (MARS)
Pijush Samui et al.
ENVIRONMENTAL EARTH SCIENCES (2015)
Prediction of Blast-Induced Flyrock in Opencast Mines Using ANN and ANFIS
Ratnesh Trivedi et al.
GEOTECHNICAL AND GEOLOGICAL ENGINEERING (2015)
An evolutionary fuzzy modelling approach and comparison of different methods for shear strength prediction of high-strength concrete beams without stirrups
Mohammad Mohammadhassani et al.
SMART STRUCTURES AND SYSTEMS (2014)
Prediction of shear capacity of channel shear connectors using the ANFIS model
Ali Toghroli et al.
STEEL AND COMPOSITE STRUCTURES (2014)
Evaluation of effect of blast design parameters on flyrock using artificial neural networks
M. Monjezi et al.
NEURAL COMPUTING & APPLICATIONS (2013)
Evaluation and prediction of blast-induced ground vibration at Shur River Dam, Iran, by artificial neural network
Masoud Monjezi et al.
NEURAL COMPUTING & APPLICATIONS (2013)
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)
Prediction of flyrock in open pit blasting operation using machine learning method
Manoj Khandelwal et al.
INTERNATIONAL JOURNAL OF MINING SCIENCE AND TECHNOLOGY (2013)
Evaluation of flyrock phenomenon due to blasting operation by support vector machine
Hasel Amini et al.
NEURAL COMPUTING & APPLICATIONS (2012)
Development of a fuzzy model to predict flyrock in surface mining
M. Rezaei et al.
SAFETY SCIENCE (2011)
Evolutionary algorithm-based learning of fuzzy neural networks. Part 2: Recurrent fuzzy neural networks
R. A. Aliev et al.
FUZZY SETS AND SYSTEMS (2009)