Optimizing Levenberg–Marquardt backpropagation technique in predicting factor of safety of slopes after two-dimensional OptumG2 analysis
出版年份 2019 全文链接
标题
Optimizing Levenberg–Marquardt backpropagation technique in predicting factor of safety of slopes after two-dimensional OptumG2 analysis
作者
关键词
ANN, Optimization, Sensitivity analysis, Slope stability
出版物
ENGINEERING WITH COMPUTERS
Volume -, Issue -, Pages -
出版商
Springer Nature
发表日期
2019-04-07
DOI
10.1007/s00366-019-00741-0
参考文献
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。- Prediction of Blast-induced Air Over-pressure in Open-Pit Mine: Assessment of Different Artificial Intelligence Techniques
- (2019) Xuan-Nam Bui et al. Natural Resources Research
- A systematic review and meta-analysis of artificial neural network application in geotechnical engineering: theory and applications
- (2019) Hossein Moayedi et al. NEURAL COMPUTING & APPLICATIONS
- A new soft computing model for estimating and controlling blast-produced ground vibration based on Hierarchical K-means clustering and Cubist algorithms
- (2019) Hoang Nguyen et al. APPLIED SOFT COMPUTING
- Modelling and optimization of ultimate bearing capacity of strip footing near a slope by soft computing methods
- (2018) Hossein Moayedi et al. APPLIED SOFT COMPUTING
- An Intelligent Artificial Neural Network-Response Surface Methodology Method for Accessing the Optimum Biodiesel and Diesel Fuel Blending Conditions in a Diesel Engine from the Viewpoint of Exergy and Energy Analysis
- (2018) Bahman Najafi et al. Energies
- A Comparative Assessment of Predicting Daily Solar Radiation Using Bat Neural Network (BNN), Generalized Regression Neural Network (GRNN), and Neuro-Fuzzy (NF) System: A Case Study
- (2018) Mohammad Lotfinejad et al. Energies
- Experimental and intelligent techniques to estimate bearing capacity of cohesive soft soils reinforced with soil-cement columns
- (2018) Aliff Ridzuan Bunawan et al. MEASUREMENT
- Artificial intelligence design charts for predicting friction capacity of driven pile in clay
- (2018) Hossein Moayedi et al. NEURAL COMPUTING & APPLICATIONS
- Application of the Hybrid Artificial Neural Network Coupled with Rolling Mechanism and Grey Model Algorithms for Streamflow Forecasting Over Multiple Time Horizons
- (2018) Zaher Mundher Yaseen et al. WATER RESOURCES MANAGEMENT
- Applicability of a CPT-Based Neural Network Solution in Predicting Load-Settlement Responses of Bored Pile
- (2018) Hossein Moayedi et al. International Journal of Geomechanics
- Sustainable Improvement of Clays Using Low-Carbon Nontraditional Additive
- (2018) Nima Latifi et al. International Journal of Geomechanics
- Partial multi-dividing ontology learning algorithm
- (2018) Wei Gao et al. INFORMATION SCIENCES
- Biosorptive removal of Zn(II) ions by Pongamia oil cake (Pongamia pinnata) in batch and fixed-bed column studies using response surface methodology and artificial neural network
- (2018) Muthusamy Shanmugaprakash et al. JOURNAL OF ENVIRONMENTAL MANAGEMENT
- A comparative study of artificial neural networks in predicting blast-induced air-blast overpressure at Deo Nai open-pit coal mine, Vietnam
- (2018) Hoang Nguyen et al. NEURAL COMPUTING & APPLICATIONS
- Slope stability analysis based on real-time displacement measurements
- (2018) Huafu Pei et al. MEASUREMENT
- Predicting Blast-Induced Air Overpressure: A Robust Artificial Intelligence System Based on Artificial Neural Networks and Random Forest
- (2018) Hoang Nguyen et al. Natural Resources Research
- A novel artificial intelligence approach based on Multi-layer Perceptron Neural Network and Biogeography-based Optimization for predicting coefficient of consolidation of soil
- (2018) Binh Thai Pham et al. CATENA
- Nano properties analysis via fourth multiplicative ABC indicator calculating
- (2017) Wei Gao et al. Arabian Journal of Chemistry
- Constrained Particle Swarm Optimization Algorithm Applied to Slope Stability
- (2017) Belgacem Jellali et al. International Journal of Geomechanics
- Study of biological networks using graph theory
- (2017) Wei Gao et al. SAUDI JOURNAL OF BIOLOGICAL SCIENCES
- The influence of rainfall intensity on soil loss mass from cellular confined slopes
- (2016) Ramli Nazir et al. MEASUREMENT
- Strength measurement and textural characteristics of tropical residual soil stabilised with liquid polymer
- (2016) Nima Latifi et al. MEASUREMENT
- A New Model for Determining Slope Stability Based on Seismic Motion Performance
- (2016) B. Gordan et al. Soil Mechanics and Foundation Engineering
- Prediction of seismic slope stability through combination of particle swarm optimization and neural network
- (2015) Behrouz Gordan et al. ENGINEERING WITH COMPUTERS
- Application of artificial neural network for calculating anisotropic friction angle of sands and effect on slope stability
- (2015) Hamed Farshbaf Aghajani et al. Journal of Central South University
- Assessment of rock slope stability and structurally controlled failures along Samma escarpment road, Asir Region (Saudi Arabia)
- (2014) Ahmed M. Youssef et al. Arabian Journal of Geosciences
- Development of an adaptive relevance vector machine approach for slope stability inference
- (2014) Zongfeng Zhang et al. NEURAL COMPUTING & APPLICATIONS
- Two-dimensional deep-seated slope stability analysis of embankments over stone column-improved soft clay
- (2011) Sari W. Abusharar et al. ENGINEERING GEOLOGY
- A new multi-gene genetic programming approach to non-linear system modeling. Part II: geotechnical and earthquake engineering problems
- (2011) Amir Hossein Gandomi et al. NEURAL COMPUTING & APPLICATIONS
- Prediction of slope stability using artificial neural network (case study: Noabad, Mazandaran, Iran)
- (2009) A. J. Choobbasti et al. Arabian Journal of Geosciences
- Neural network modeling applications in active slope stability problems
- (2009) Rennie B. Kaunda et al. Environmental Earth Sciences
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started