Developing a hybrid PSO–ANN model for estimating the ultimate bearing capacity of rock-socketed piles
出版年份 2015 全文链接
标题
Developing a hybrid PSO–ANN model for estimating the ultimate bearing capacity of rock-socketed piles
作者
关键词
Rock-socketed pile, Ultimate bearing capacity, ANN, PSO, Hybrid model
出版物
NEURAL COMPUTING & APPLICATIONS
Volume 28, Issue 2, Pages 391-405
出版商
Springer Nature
发表日期
2015-10-14
DOI
10.1007/s00521-015-2072-z
参考文献
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- (2015) Behrouz Gordan et al. ENGINEERING WITH COMPUTERS
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- (2015) Roohollah Shirani Faradonbeh et al. ENGINEERING WITH COMPUTERS
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- (2015) Danial Jahed Armaghani et al. ENGINEERING WITH COMPUTERS
- Evaluation and prediction of flyrock resulting from blasting operations using empirical and computational methods
- (2015) D. Jahed Armaghani et al. ENGINEERING WITH COMPUTERS
- Prediction of uniaxial compressive strength of rock samples using hybrid particle swarm optimization-based artificial neural networks
- (2015) Ehsan Momeni et al. MEASUREMENT
- Prediction of airblast-overpressure induced by blasting using a hybrid artificial neural network and particle swarm optimization
- (2014) M. Hajihassani et al. APPLIED ACOUSTICS
- An adaptive neuro-fuzzy inference system for predicting unconfined compressive strength and Young’s modulus: a study on Main Range granite
- (2014) Danial Jahed Armaghani 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
- Blasting-induced flyrock and ground vibration prediction through an expert artificial neural network based on particle swarm optimization
- (2013) D. Jahed Armaghani et al. Arabian Journal of Geosciences
- Prediction of ultimate axial load-carrying capacity of piles using a support vector machine based on CPT data
- (2013) A. Kordjazi et al. COMPUTERS AND GEOTECHNICS
- Estimation of uniaxial compressive strength of rock materials by index tests using regression analysis and fuzzy inference system
- (2013) D.A. Mishra et al. ENGINEERING GEOLOGY
- Calculation of surface settlements caused by EPBM tunneling using artificial neural network, SVM, and Gaussian processes
- (2013) Ibrahim Ocak et al. Environmental Earth Sciences
- Prediction of unconfined compressive strength of carbonate rocks using artificial neural networks
- (2012) Nurcihan Ceryan et al. Environmental Earth Sciences
- Evaluation of effect of blast design parameters on flyrock using artificial neural networks
- (2012) M. Monjezi et al. NEURAL COMPUTING & APPLICATIONS
- Backbreak prediction in the Chadormalu iron mine using artificial neural network
- (2012) M. Monjezi et al. NEURAL COMPUTING & APPLICATIONS
- Evaluation and prediction of blast-induced ground vibration at Shur River Dam, Iran, by artificial neural network
- (2012) Masoud Monjezi et al. NEURAL COMPUTING & APPLICATIONS
- A comparative study of generalized regression neural network approach and adaptive neuro-fuzzy inference systems for prediction of unconfined compressive strength of rocks
- (2012) Rajesh Singh et al. NEURAL COMPUTING & APPLICATIONS
- Estimation of elastic constant of rocks using an ANFIS approach
- (2011) Rajesh Singh et al. APPLIED SOFT COMPUTING
- Predicting axial capacity of driven piles in cohesive soils using intelligent computing
- (2011) Iyad Alkroosh et al. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
- Artificial neural networks and nonlinear regression techniques to assess the influence of slake durability cycles on the prediction of uniaxial compressive strength and modulus of elasticity for carbonate rocks
- (2011) S. Yagiz et al. INTERNATIONAL JOURNAL FOR NUMERICAL AND ANALYTICAL METHODS IN GEOMECHANICS
- Prediction of hard rock TBM penetration rate using particle swarm optimization
- (2011) Saffet Yagiz et al. INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES
- Intelligent computing for modeling axial capacity of pile foundations
- (2010) Mohamed A. Shahin CANADIAN GEOTECHNICAL JOURNAL
- Intelligent systems for ground vibration measurement: a comparative study
- (2010) A. K. Verma et al. ENGINEERING WITH COMPUTERS
- Application of two non-linear prediction tools to the estimation of tunnel boring machine performance
- (2009) S. Yagiz et al. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
- Applying Wavelets to Short-Term Load Forecasting Using PSO-Based Neural Networks
- (2009) Z.A. Bashir et al. IEEE TRANSACTIONS ON POWER SYSTEMS
- Correlating static properties of coal measures rocks with P-wave velocity
- (2009) Manoj Khandelwal et al. INTERNATIONAL JOURNAL OF COAL GEOLOGY
- Modeling Pile Capacity Using Support Vector Machines and Generalized Regression Neural Network
- (2008) Mahesh Pal et al. JOURNAL OF GEOTECHNICAL AND GEOENVIRONMENTAL ENGINEERING
- Prediction of uniaxial compressive strength of sandstones using petrography-based models
- (2007) K. Zorlu et al. ENGINEERING GEOLOGY
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