Assessing Dynamic Conditions of the Retaining Wall: Developing Two Hybrid Intelligent Models
出版年份 2019 全文链接
标题
Assessing Dynamic Conditions of the Retaining Wall: Developing Two Hybrid Intelligent Models
作者
关键词
-
出版物
Applied Sciences-Basel
Volume 9, Issue 6, Pages 1042
出版商
MDPI AG
发表日期
2019-03-14
DOI
10.3390/app9061042
参考文献
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- (2019) Mohammadreza Koopialipoor et al. ENGINEERING WITH COMPUTERS
- Development of a new hybrid ANN for solving a geotechnical problem related to tunnel boring machine performance
- (2019) Mohammadreza Koopialipoor et al. ENGINEERING WITH COMPUTERS
- Developing a new intelligent technique to predict overbreak in tunnels using an artificial bee colony-based ANN
- (2019) Mohammadreza Koopialipoor et al. Environmental Earth Sciences
- A Monte Carlo simulation approach for effective assessment of flyrock based on intelligent system of neural network
- (2019) Jian Zhou et al. ENGINEERING WITH COMPUTERS
- Novel approach for forecasting the blast-induced AOp using a hybrid fuzzy system and firefly algorithm
- (2019) Jian Zhou et al. ENGINEERING WITH COMPUTERS
- A new methodology for optimization and prediction of rate of penetration during drilling operations
- (2019) Yanru Zhao et al. ENGINEERING WITH COMPUTERS
- Effects of a proper feature selection on prediction and optimization of drilling rate using intelligent techniques
- (2019) Xiufeng Liao et al. ENGINEERING WITH COMPUTERS
- Feasibility of Stochastic Gradient Boosting Approach for Evaluating Seismic Liquefaction Potential Based on SPT and CPT Case Histories
- (2019) Jian Zhou et al. JOURNAL OF PERFORMANCE OF CONSTRUCTED FACILITIES
- Three hybrid intelligent models in estimating flyrock distance resulting from blasting
- (2018) Mohammadreza Koopialipoor et al. ENGINEERING WITH COMPUTERS
- A combination of artificial bee colony and neural network for approximating the safety factor of retaining walls
- (2018) Ebrahim Noroozi Ghaleini et al. ENGINEERING WITH COMPUTERS
- Krill herd algorithm-based neural network in structural seismic reliability evaluation
- (2018) Panagiotis G. Asteris et al. MECHANICS OF ADVANCED MATERIALS AND STRUCTURES
- Applying various hybrid intelligent systems to evaluate and predict slope stability under static and dynamic conditions
- (2018) Mohammadreza Koopialipoor et al. SOFT COMPUTING
- Predicting tunnel boring machine performance through a new model based on the group method of data handling
- (2018) Mohammadreza Koopialipoor et al. Bulletin of Engineering Geology and the Environment
- Estimating and optimizing safety factors of retaining wall through neural network and bee colony techniques
- (2018) Behrouz Gordan et al. ENGINEERING WITH COMPUTERS
- Overbreak prediction and optimization in tunnel using neural network and bee colony techniques
- (2018) Mohammadreza Koopialipoor et al. ENGINEERING WITH COMPUTERS
- An Extreme Learning Machine Approach to Effective Energy Disaggregation
- (2018) Valerio Salerno et al. Electronics
- Anisotropic masonry failure criterion using artificial neural networks
- (2016) Panagiotis G. Asteris et al. NEURAL COMPUTING & APPLICATIONS
- Feasibility of ICA in approximating ground vibration resulting from mine blasting
- (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
- Risk Assessment and Prediction of Flyrock Distance by Combined Multiple Regression Analysis and Monte Carlo Simulation of Quarry Blasting
- (2016) Danial Jahed Armaghani et al. ROCK MECHANICS AND ROCK ENGINEERING
- Prediction of the Fundamental Period of Infilled RC Frame Structures Using Artificial Neural Networks
- (2016) Panagiotis G. Asteris et al. Computational Intelligence and Neuroscience
- Application of two intelligent systems in predicting environmental impacts of quarry blasting
- (2015) Danial Jahed Armaghani et al. Arabian Journal of Geosciences
- Prediction of seismic slope stability through combination of particle swarm optimization and neural network
- (2015) Behrouz Gordan et al. ENGINEERING WITH COMPUTERS
- A combination of the ICA-ANN model to predict air-overpressure resulting from blasting
- (2015) Danial Jahed Armaghani et al. ENGINEERING WITH COMPUTERS
- Blast-induced air and ground vibration prediction: a particle swarm optimization-based artificial neural network approach
- (2015) Mohsen Hajihassani et al. Environmental Earth Sciences
- 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 pile bearing capacity using a hybrid genetic algorithm-based ANN
- (2014) E. Momeni et al. MEASUREMENT
- Prediction of uniaxial compressive strength of sandstones using petrography-based models
- (2007) K. Zorlu et al. ENGINEERING GEOLOGY
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