Performance prediction of tunnel boring machine through developing a gene expression programming equation
出版年份 2017 全文链接
标题
Performance prediction of tunnel boring machine through developing a gene expression programming equation
作者
关键词
Tunnel boring machine, Penetration rate, Gene expression programming, Multiple regression
出版物
ENGINEERING WITH COMPUTERS
Volume 34, Issue 1, Pages 129-141
出版商
Springer Nature
发表日期
2017-06-23
DOI
10.1007/s00366-017-0526-x
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 geomechanical parameters using soft computing and multiple regression approach
- (2017) Rajesh Singh et al. MEASUREMENT
- Developing novel models using neural networks and fuzzy systems for the prediction of strength of rocks from key geomechanical properties
- (2017) L.K. Sharma et al. MEASUREMENT
- Development of hybrid intelligent models for predicting TBM penetration rate in hard rock condition
- (2017) Danial Jahed Armaghani et al. TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
- Predicting CO 2 permeability of bituminous coal using statistical and adaptive neuro-fuzzy analysis
- (2017) L.K. Sharma et al. Journal of Natural Gas Science and Engineering
- 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
- Modification and prediction of blast-induced ground vibrations based on both empirical and computational techniques
- (2016) M. Monjezi et al. ENGINEERING WITH COMPUTERS
- Function development for appraising brittleness of intact rocks using genetic programming and non-linear multiple regression models
- (2016) Manoj Khandelwal et al. ENGINEERING WITH COMPUTERS
- Evaluating the modulus of elasticity of soil using soft computing system
- (2016) L. K. Sharma et al. ENGINEERING WITH COMPUTERS
- A new model based on gene expression programming to estimate air flow in a single rock joint
- (2016) Manoj Khandelwal et al. Environmental Earth Sciences
- 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
- Prediction and minimization of blast-induced flyrock using gene expression programming and firefly algorithm
- (2016) Roohollah Shirani Faradonbeh 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
- Application of two intelligent systems in predicting environmental impacts of quarry blasting
- (2015) Danial Jahed Armaghani et al. Arabian Journal of Geosciences
- Application of fuzzy inference system for prediction of rock fragmentation induced by blasting
- (2015) Samira Shams et al. Arabian Journal of Geosciences
- Evaluation and prediction of flyrock resulting from blasting operations using empirical and computational methods
- (2015) D. Jahed Armaghani et al. ENGINEERING WITH COMPUTERS
- Estimation of tunnelling-induced settlement by modern intelligent methods
- (2015) Kaveh Ahangari et al. SOILS AND FOUNDATIONS
- 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
- Predicting penetration rate of hard rock tunnel boring machine using fuzzy logic
- (2013) Ebrahim Ghasemi et al. Bulletin of Engineering Geology and the Environment
- Prediction of peak ground acceleration by genetic expression programming and regression: A comparison using likelihood-based measure
- (2012) Hamza Güllü ENGINEERING GEOLOGY
- Study of various models for estimation of penetration rate of hard rock TBMs
- (2012) Ebrahim Farrokh et al. TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
- Estimation of elastic constant of rocks using an ANFIS approach
- (2011) Rajesh Singh et al. APPLIED SOFT COMPUTING
- Study of the influence of geotechnical parameters on the TBM performance in Tehran–Shomal highway project using ANN and SPSS
- (2011) S. R. Torabi et al. Arabian Journal of Geosciences
- 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 systems for ground vibration measurement: a comparative study
- (2010) A. K. Verma et al. ENGINEERING WITH COMPUTERS
- Soil liquefaction modeling by Genetic Expression Programming and Neuro-Fuzzy
- (2010) C. Kayadelen EXPERT SYSTEMS WITH APPLICATIONS
- 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
- Multifactorial fuzzy approach to the penetrability classification of TBM in hard rock conditions
- (2009) Reza Mikaeil et al. TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
- Development of a rock mass characteristics model for TBM penetration rate prediction
- (2008) Q.M. Gong et al. INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES
- Prediction of compressive and tensile strength of Gaziantep basalts via neural networks and gene expression programming
- (2008) Hanifi Çanakcı et al. NEURAL COMPUTING & APPLICATIONS
- Prediction of compressive and tensile strength of limestone via genetic programming
- (2007) A BAYKASOGLU et al. EXPERT SYSTEMS WITH APPLICATIONS
- Utilizing rock mass properties for predicting TBM performance in hard rock condition
- (2007) Saffet Yagiz TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
Find the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
SearchAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started