4.7 Article

Optimization of ANFIS with GA and PSO estimating alpha ratio in driven piles

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。
Article Computer Science, Artificial Intelligence

An artificial neural network approach for under-reamed piles subjected to uplift forces in dry sand

Hossein Moayedi et al.

NEURAL COMPUTING & APPLICATIONS (2019)

Article Computer Science, Artificial Intelligence

Artificial intelligence design charts for predicting friction capacity of driven pile in clay

Hossein Moayedi et al.

NEURAL COMPUTING & APPLICATIONS (2019)

Article Computer Science, Interdisciplinary Applications

Modification of landslide susceptibility mapping using optimized PSO-ANN technique

Hossein Moayedi et al.

ENGINEERING WITH COMPUTERS (2019)

Article Computer Science, Interdisciplinary Applications

Implementing an ANN model optimized by genetic algorithm for estimating cohesion of limestone samples

Manoj Khandelwal et al.

ENGINEERING WITH COMPUTERS (2018)

Article Computer Science, Artificial Intelligence

Modelling and optimization of ultimate bearing capacity of strip footing near a slope by soft computing methods

Hossein Moayedi et al.

APPLIED SOFT COMPUTING (2018)

Article Engineering, Multidisciplinary

Lateral deflection of piles in a multilayer soil medium. Case study: The Terengganu seaside platform

Hossein Moayedi et al.

MEASUREMENT (2018)

Article Engineering, Geological

Applicability of a CPT-Based Neural Network Solution in Predicting Load-Settlement Responses of Bored Pile

Hossein Moayedi et al.

INTERNATIONAL JOURNAL OF GEOMECHANICS (2018)

Article Engineering, Geological

Performance Analysis of a Piled Raft Foundation System of Varying Pile Lengths in Controlling Angular Distortion

H. Moayedi et al.

SOIL MECHANICS AND FOUNDATION ENGINEERING (2018)

Article Engineering, Geological

Numerical ANFIS-Based Formulation for Prediction of the Ultimate Axial Load Bearing Capacity of Piles Through CPT Data

Behnam Ghorbani et al.

GEOTECHNICAL AND GEOLOGICAL ENGINEERING (2018)

Article Computer Science, Artificial Intelligence

Developing a hybrid PSO-ANN model for estimating the ultimate bearing capacity of rock-socketed piles

Danial Jahed Armaghani et al.

NEURAL COMPUTING & APPLICATIONS (2017)

Article Computer Science, Artificial Intelligence

An optimized ANN model based on genetic algorithm for predicting ripping production

Edy Tonnizam Mohamad et al.

NEURAL COMPUTING & APPLICATIONS (2017)

Article Computer Science, Interdisciplinary Applications

A Monte Carlo technique in safety assessment of slope under seismic condition

Amir Mahdiyar et al.

ENGINEERING WITH COMPUTERS (2017)

Article Geosciences, Multidisciplinary

Developing hybrid artificial neural network model for predicting uplift resistance of screw piles

Mansour Mosallanezhad et al.

ARABIAN JOURNAL OF GEOSCIENCES (2017)

Article Computer Science, Interdisciplinary Applications

Several non-linear models in estimating air-overpressure resulting from mine blasting

Mahdi Hasanipanah et al.

ENGINEERING WITH COMPUTERS (2016)

Article Computer Science, Artificial Intelligence

Prediction of ground motion parameters using randomized ANFIS (RANFIS)

Sonia Thomas et al.

APPLIED SOFT COMPUTING (2016)

Article Computer Science, Interdisciplinary Applications

Feasibility of PSO-ANN model for predicting surface settlement caused by tunneling

Mahdi Hasanipanah et al.

ENGINEERING WITH COMPUTERS (2016)

Article Engineering, Geological

Prediction of friction capacity of driven piles in clay using artificial intelligence techniques

Shakti Suman et al.

INTERNATIONAL JOURNAL OF GEOTECHNICAL ENGINEERING (2016)

Article Environmental Sciences

Feasibility of ANFIS model for prediction of ground vibrations resulting from quarry blasting

Danial Jahed Armaghani et al.

ENVIRONMENTAL EARTH SCIENCES (2015)

Article Engineering, Environmental

Prediction of the unconfined compressive strength of soft rocks: a PSO-based ANN approach

Edy Tonnizam Mohamad et al.

BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT (2015)

Article Computer Science, Interdisciplinary Applications

Prediction of ultimate axial load-carrying capacity of piles using a support vector machine based on CPT data

A. Kordjazi et al.

COMPUTERS AND GEOTECHNICS (2014)

Article Computer Science, Artificial Intelligence

Least square support vector machine and multivariate adaptive regression spline for modeling lateral load capacity of piles

Pijush Samui et al.

NEURAL COMPUTING & APPLICATIONS (2013)

Article Engineering, Geological

Comparison between high strain dynamic and static load tests of helical piles in cohesive soils

Mohammed Sakr

SOIL DYNAMICS AND EARTHQUAKE ENGINEERING (2013)

Article Computer Science, Interdisciplinary Applications

Predicting the spatial distribution of soil profile in Adapazari/Turkey by artificial neural networks using CPT data

Ersin Arel

COMPUTERS & GEOSCIENCES (2012)

Article Computer Science, Interdisciplinary Applications

A hybrid neural networks-fuzzy logic-genetic algorithm for grade estimation

Pejman Tahmasebi et al.

COMPUTERS & GEOSCIENCES (2012)

Article Computer Science, Interdisciplinary Applications

Piles shaft capacity from CPT and CPTu data by polynomial neural networks and genetic algorithms

H. Ardalan et al.

COMPUTERS AND GEOTECHNICS (2009)

Article Computer Science, Interdisciplinary Applications

Prediction of soil composition from CPT data using general regression neural network

Pradeep U. Kurup et al.

JOURNAL OF COMPUTING IN CIVIL ENGINEERING (2006)