标题
Rock tensile strength prediction using empirical and soft computing approaches
作者
关键词
-
出版物
Bulletin of Engineering Geology and the Environment
Volume -, Issue -, Pages -
出版商
Springer Nature America, Inc
发表日期
2018-10-18
DOI
10.1007/s10064-018-1405-4
参考文献
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注意:仅列出部分参考文献,下载原文获取全部文献信息。- A Monte Carlo technique in safety assessment of slope under seismic condition
- (2017) Amir Mahdiyar et al. ENGINEERING WITH COMPUTERS
- An expert system based on hybrid ICA-ANN technique to estimate macerals contents of Indian coals
- (2017) Manoj Khandelwal et al. Environmental Earth Sciences
- Prediction of the surface roughness of wood for machining
- (2017) Damjan Stanojevic et al. JOURNAL OF FORESTRY RESEARCH
- Development of a new model for predicting flyrock distance in quarry blasting: a genetic programming technique
- (2016) Roohollah Shirani Faradonbeh et al. Bulletin of Engineering Geology and the Environment
- Intelligent modelling of sandstone deformation behaviour using fuzzy logic and neural network systems
- (2016) Behnam Yazdani Bejarbaneh et al. Bulletin of Engineering Geology and the Environment
- Feasibility of PSO-ANN model for predicting surface settlement caused by tunneling
- (2016) Mahdi Hasanipanah et al. ENGINEERING WITH COMPUTERS
- Estimation of air-overpressure produced by blasting operation through a neuro-genetic technique
- (2016) Edy Tonnizam Mohamad et al. Environmental Earth Sciences
- Risk assessment and prediction of rock fragmentation produced by blasting operation: a rock engineering system
- (2016) Mahdi Hasanipanah et al. Environmental Earth Sciences
- Estimation of ground vibration produced by blasting operations through intelligent and empirical models
- (2016) S. Ghoraba et al. Environmental Earth Sciences
- Prediction of the uniaxial compressive strength of sandstone using various modeling techniques
- (2016) Danial Jahed Armaghani et al. INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES
- Application of PSO to develop a powerful equation for prediction of flyrock due to blasting
- (2016) Mahdi Hasanipanah et al. NEURAL COMPUTING & APPLICATIONS
- Prediction of the durability of limestone aggregates using computational techniques
- (2016) Seyed Vahid Alavi Nezhad Khalil Abad et al. NEURAL COMPUTING & APPLICATIONS
- Rock strength estimation: a PSO-based BP approach
- (2016) E. Tonnizam Mohamad et al. NEURAL COMPUTING & APPLICATIONS
- Settlement prediction of the rock-socketed piles through a new technique based on gene expression programming
- (2016) Danial Jahed Armaghani et al. NEURAL COMPUTING & APPLICATIONS
- An optimized ANN model based on genetic algorithm for predicting ripping production
- (2016) Edy Tonnizam Mohamad et al. NEURAL COMPUTING & APPLICATIONS
- Prediction of seismic slope stability through combination of particle swarm optimization and neural network
- (2015) Behrouz Gordan 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
- Prediction of blast-induced air overpressure: a hybrid AI-based predictive model
- (2015) Danial Jahed Armaghani et al. ENVIRONMENTAL MONITORING AND ASSESSMENT
- Prediction of uniaxial compressive strength of rock samples using hybrid particle swarm optimization-based artificial neural networks
- (2015) Ehsan Momeni et al. MEASUREMENT
- Ground vibration prediction in quarry blasting through an artificial neural network optimized by imperialist competitive algorithm
- (2014) Mohsen Hajihassani et al. Bulletin of Engineering Geology and the Environment
- Prediction of the unconfined compressive strength of soft rocks: a PSO-based ANN approach
- (2014) Edy Tonnizam Mohamad et al. Bulletin of Engineering Geology and the Environment
- Prediction of pile bearing capacity using a hybrid genetic algorithm-based ANN
- (2014) E. Momeni et al. MEASUREMENT
- GMDH to predict scour depth around a pier in cohesive soils
- (2013) Mohammad Najafzadeh et al. APPLIED OCEAN RESEARCH
- A hybridized artificial neural network and imperialist competitive algorithm optimization approach for prediction of soil compaction in soil bin facility
- (2013) Hamid Taghavifar et al. MEASUREMENT
- Use of the block punch test to predict the compressive and tensile strengths of rocks
- (2012) D.A. Mishra et al. INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES
- Modified Mohr–Coulomb criterion for non-linear triaxial and polyaxial strength of jointed rocks
- (2012) Mahendra Singh et al. INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES
- Artificial neural network–genetic algorithm for estimation of crop evapotranspiration in a semi-arid region of Iran
- (2012) Mohammad-Bagher Aghajanloo et al. NEURAL COMPUTING & APPLICATIONS
- Prediction of hard rock TBM penetration rate using particle swarm optimization
- (2011) Saffet Yagiz et al. INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES
- Prediction of Uniaxial Compressive Strength, Tensile Strength and Porosity of Sedimentary Rocks Using Sound Level Produced During Rotary Drilling
- (2011) B. Rajesh Kumar et al. ROCK MECHANICS AND ROCK ENGINEERING
- Predicting the Uniaxial Compressive and Tensile Strengths of Gypsum Rock by Point Load Testing
- (2011) M. Heidari et al. ROCK MECHANICS AND ROCK ENGINEERING
- Applying Wavelets to Short-Term Load Forecasting Using PSO-Based Neural Networks
- (2009) Z.A. Bashir et al. IEEE TRANSACTIONS ON POWER SYSTEMS
- Prediction of blast-induced ground vibration using artificial neural network
- (2009) Manoj Khandelwal et al. INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES
- Evolving neural network using a genetic algorithm for predicting the deformation modulus of rock masses
- (2009) Abbas Majdi et al. INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES
- Prediction of the strength and elasticity modulus of gypsum using multiple regression, ANN, and ANFIS models
- (2008) Işık Yilmaz et al. INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES
- Classification of mental task from EEG data using neural networks based on particle swarm optimization
- (2008) Cheng-Jian Lin et al. NEUROCOMPUTING
- Prediction of uniaxial compressive strength of sandstones using petrography-based models
- (2007) K. Zorlu et al. ENGINEERING GEOLOGY
- Prediction of compressive and tensile strength of limestone via genetic programming
- (2007) A BAYKASOGLU et al. EXPERT SYSTEMS WITH APPLICATIONS
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