4.6 Article

Mathematical modelling of burr height of the drilling process using a statistical-based multi-gene genetic programming approach

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 Materials Science, Multidisciplinary

Estimation of mechanical properties of nanomaterials using artificial intelligence methods

V. Vijayaraghavan et al.

APPLIED PHYSICS A-MATERIALS SCIENCE & PROCESSING (2014)

Article Computer Science, Interdisciplinary Applications

A multi-gene genetic programming model for estimating stress-dependent soil water retention curves

Akhil Garg et al.

COMPUTATIONAL GEOSCIENCES (2014)

Article Ecology

Estimation of factor of safety of rooted slope using an evolutionary approach

Akhil Garg et al.

ECOLOGICAL ENGINEERING (2014)

Article Computer Science, Artificial Intelligence

Performance evaluation of microbial fuel cell by artificial intelligence methods

A. Garg et al.

EXPERT SYSTEMS WITH APPLICATIONS (2014)

Article Computer Science, Artificial Intelligence

A hybrid M5′-genetic programming approach for ensuring greater trustworthiness of prediction ability in modelling of FDM process

A. Garg et al.

JOURNAL OF INTELLIGENT MANUFACTURING (2014)

Article Engineering, Multidisciplinary

Measurement of properties of graphene sheets subjected to drilling operation using computer simulation

V. Vijayaraghavan et al.

MEASUREMENT (2014)

Article Engineering, Mechanical

State-of-the-art in empirical modelling of rapid prototyping processes

A. Garg et al.

RAPID PROTOTYPING JOURNAL (2014)

Article Computer Science, Artificial Intelligence

A new hybrid artificial bee colony algorithm for robust optimal design and manufacturing

Ali R. Yildiz

APPLIED SOFT COMPUTING (2013)

Article Computer Science, Artificial Intelligence

Hybrid Taguchi-differential evolution algorithm for optimization of multi-pass turning operations

Ali R. Yildiz

APPLIED SOFT COMPUTING (2013)

Article Computer Science, Artificial Intelligence

A new hybrid differential evolution algorithm for the selection of optimal machining parameters in milling operations

Ali R. Yildiz

APPLIED SOFT COMPUTING (2013)

Article Computer Science, Information Systems

Optimization of cutting parameters in multi-pass turning using artificial bee colony-based approach

Ali R. Yildiz

INFORMATION SCIENCES (2013)

Article Automation & Control Systems

Cuckoo search algorithm for the selection of optimal machining parameters in milling operations

Ali R. Yildiz

INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY (2013)

Article Automation & Control Systems

Classification-driven model selection approach of genetic programming in modelling of turning process

A. Garg et al.

INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY (2013)

Article Engineering, Manufacturing

An Experimental Investigation of Hole Geometry in Friction Drilling

Latif Ozler et al.

MATERIALS AND MANUFACTURING PROCESSES (2013)

Review Automation & Control Systems

Review of empirical modelling techniques for modelling of turning process

Akhil Garg et al.

INTERNATIONAL JOURNAL OF MODELLING IDENTIFICATION AND CONTROL (2013)

Article Computer Science, Information Systems

A comparative study of population-based optimization algorithms for turning operations

Ali R. Yildiz

INFORMATION SCIENCES (2012)

Article Automation & Control Systems

Prediction of abrasive wear rate of in situ Cu-Al2O3 nanocomposite using artificial neural networks

A. Fathy et al.

INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY (2012)

Article Automation & Control Systems

Predicting the grain size and hardness of AZ91/SiC nanocomposite by artificial neural networks

P. Asadi et al.

INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY (2012)

Article Engineering, Manufacturing

Drilling of Glass Fiber/Vinyl Ester Composites with Fillers

S. Kumar et al.

MATERIALS AND MANUFACTURING PROCESSES (2012)

Article Computer Science, Artificial Intelligence

A new multi-gene genetic programming approach to nonlinear system modeling. Part I: materials and structural engineering problems

Amir Hossein Gandomi et al.

NEURAL COMPUTING & APPLICATIONS (2012)

Meeting Abstract Surgery

Risk Factors for Malignancy Post Renal Transplantation in Patients Receiving Tacrolimus.

K. Chan et al.

AMERICAN JOURNAL OF TRANSPLANTATION (2011)

Article Computer Science, Information Systems

Multi-stage genetic programming: A new strategy to nonlinear system modeling

Amir Hossein Gandomi et al.

INFORMATION SCIENCES (2011)

Article Automation & Control Systems

Performance comparison of conventional and wiper ceramic inserts in hard turning through artificial neural network modeling

Vinayak Neelakanth Gaitonde et al.

INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY (2011)

Article Automation & Control Systems

The selection of milling parameters by the PSO-based neural network modeling method

Masoud Farahnakian et al.

INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY (2011)

Article Automation & Control Systems

A neural network-based build time estimator for layer manufactured objects

Luca Di Angelo et al.

INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY (2011)

Article Engineering, Manufacturing

Experimental Investigation and Analysis of Thrust Force in Drilling Hybrid Metal Matrix Composites by Coated Carbide Drills

T. Rajmohan et al.

MATERIALS AND MANUFACTURING PROCESSES (2011)

Article Computer Science, Artificial Intelligence

Reducing overfitting in manufacturing process modeling using a backward elimination based genetic programming

K. Y. Chan et al.

APPLIED SOFT COMPUTING (2011)

Review Automation & Control Systems

Application of soft computing techniques in machining performance prediction and optimization: a literature review

M. Chandrasekaran et al.

INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY (2010)

Article Materials Science, Multidisciplinary

GENETIC PROGRAMMING AND ORTHOGONAL LEAST SQUARES: A HYBRID APPROACH TO MODELING THE COMPRESSIVE STRENGTH OF CFRP-CONFINED CONCRETE CYLINDERS

Amir Hossein Gandomi et al.

JOURNAL OF MECHANICS OF MATERIALS AND STRUCTURES (2010)

Article Automation & Control Systems

A study of drilling performances with minimum quantity of lubricant using fuzzy logic rules

Arup Kumar Nandi et al.

MECHATRONICS (2009)

Article Engineering, Industrial

Evaluation of thrust force and surface roughness in drilling composite maternal using Taguchi analysis and neural network

C. C. Tsao et al.

JOURNAL OF MATERIALS PROCESSING TECHNOLOGY (2008)

Article Automation & Control Systems

Development of artificial neural network models to study the effect of process parameters on burr size in drilling

S. R. Karnik et al.

INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY (2008)

Article Construction & Building Technology

Genetic programming based formulation of rotation capacity of wide flange beams

Abdulkadir Cevik

JOURNAL OF CONSTRUCTIONAL STEEL RESEARCH (2007)

Article Computer Science, Artificial Intelligence

Artificial neural network based prediction of drill flank wear from motor current signals

Karali Patra et al.

APPLIED SOFT COMPUTING (2007)

Article Computer Science, Artificial Intelligence

Evaluation of the performance of backpropagation and radial basis function neural networks in predicting the drill flank wear

Saurabh Garg et al.

NEURAL COMPUTING & APPLICATIONS (2007)

Article Automation & Control Systems

Intelligent modeling of thrust force in drilling process

Ye Sheng et al.

JOURNAL OF DYNAMIC SYSTEMS MEASUREMENT AND CONTROL-TRANSACTIONS OF THE ASME (2006)

Article Engineering, Industrial

Drill wear monitoring using back propagation neural network

SS Panda et al.

JOURNAL OF MATERIALS PROCESSING TECHNOLOGY (2006)

Article Engineering, Industrial

Modeling of tool wear in drilling by statistical analysis and artificial neural network

C Sanjay et al.

JOURNAL OF MATERIALS PROCESSING TECHNOLOGY (2005)

Article Computer Science, Artificial Intelligence

Practical selection of SVM parameters and noise estimation for SVM regression

V Cherkassky et al.

NEURAL NETWORKS (2004)

Article Engineering, Manufacturing

Drilling wear detection and classification using vibration signals and artificial neural network

I Abu-Mahfouz

INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE (2003)

Article Computer Science, Artificial Intelligence

Genetic programming and evolutionary generalization

I Kushchu

IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2002)