Using artificial neural networks for the prediction of dimensional error on inclined surfaces manufactured by ball-end milling

Artificial Neural Network (ANN) and Regression Tree (CART) applications for the indirect estimation of unsaturated soil shear strength parameters

(2014) D. P. Kanungo et al.   Frontiers of Earth Science

The evolutionary development of roughness prediction models

(2012) Maciej Grzenda et al.   APPLIED SOFT COMPUTING

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

(2012) Ali R. Yildiz   APPLIED SOFT COMPUTING

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

(2012) Ali R. Yildiz   INFORMATION SCIENCES

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

(2012) Ali R. Yildiz   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

Prediction, monitoring and control of surface roughness in high-torque milling machine operations

(2012) Guillem Quintana et al.   INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING

Boosting Projections to improve surface roughness prediction in high-torque milling operations

(2012) José-Francisco Díez-Pastor et al.   SOFT COMPUTING

Avoiding neural network fine tuning by using ensemble learning: application to ball-end milling operations

(2011) Andres Bustillo et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

Multi-objective optimization of vehicle crashworthiness using a new particle swarm based approach

(2011) Ali R. Yildiz et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

Modelling of process parameters in laser polishing of steel components using ensembles of regression trees

(2011) Andrés Bustillo et al.   INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING

Using artificial intelligence to predict surface roughness in deep drilling of steel components

(2011) Andres Bustillo et al.   JOURNAL OF INTELLIGENT MANUFACTURING

Surface Roughness Generation and Material Removal Rate in Ball End Milling Operations

(2010) G. Quintana et al.   MATERIALS AND MANUFACTURING PROCESSES

Design of multisensor fusion-based tool condition monitoring system in end milling

(2009) Sohyung Cho et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

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

(2009) M. Chandrasekaran et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

Surface roughness monitoring application based on artificial neural networks for ball-end milling operations

(2009) G. Quintana et al.   JOURNAL OF INTELLIGENT MANUFACTURING

Adaptive network-based fuzzy inference system for prediction of surface roughness in end milling process using hybrid Taguchi-genetic learning algorithm

(2008) Wen-Hsien Ho et al.   EXPERT SYSTEMS WITH APPLICATIONS

A novel particle swarm optimization approach for product design and manufacturing

(2008) Ali Rıza Yıldız   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

Regression analysis, support vector machines, and Bayesian neural network approaches to modeling surface roughness in face milling

(2008) B. Lela et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

Effect of tool setting error on the topography of surfaces machined by peripheral milling

(2008) Miguel Arizmendi et al.   INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE

A Bayesian network model for surface roughness prediction in the machining process

(2008) M. Correa et al.   INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE

An intelligent approach for the prediction of surface roughness in ball-end machining of polypropylene

(2008) Vimal G. Dhokia et al.   ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING