José R. Alique

According to our database1, José R. Alique
  • authored at least 23 papers between 1996 and 2010.
  • has a "Dijkstra number"2 of five.



In proceedings 
PhD thesis 




A transductive neuro-fuzzy controller: application to a drilling process.
IEEE Trans. Neural Networks, 2010

A Soft Computing System to Perform Face Milling Operations.
Proceedings of the Distributed Computing, 2009

Transductive-Weighted Neuro-Fuzzy Inference System for Tool Wear Prediction in a Turning Process.
Proceedings of the Hybrid Artificial Intelligence Systems, 4th International Conference, 2009

A Bayesian network model for surface roughness prediction in the machining process.
Int. J. Systems Science, 2008

Intelligent monitoring and decision control system for peripheral milling process.
Proceedings of the IEEE International Conference on Systems, 2008

Fuzzy Logic-Based Torque Control System for Milling Process Optimization.
IEEE Trans. Systems, Man, and Cybernetics, Part C, 2007

Multi Sensor Data Fusion for High Speed Machining.
Proceedings of the MICAI 2007: Advances in Artificial Intelligence, 2007

Using Simulated Annealing for Optimal Tuning of a PID Controller for Time-Delay Systems. An Application to a High-Performance Drilling Process.
Proceedings of the Computational and Ambient Intelligence, 2007

Optimal Fuzzy Control for a Time-Delay System Using Simulated Annealing: An Application to High-Performance Drilling.
Proceedings of the Third International Conference on Natural Computation, 2007

Controlling a complex electromechanical process on the basis of a neurofuzzy approach.
Future Generation Comp. Syst., 2005

Controlling Force Based on Radial Fuzzy Functions in High-Speed Machining Processes.
Proceedings of the Computational Intelligence and Bioinspired Systems, 2005

Modeling and Simulation of High-Speed Machining Processes Based on Matlab/Simulink.
Proceedings of the Computational Science, 2005

Nonlinear internal model control using neural networks: an application for machining processes.
Neural Computing and Applications, 2004

A MIMO fuzzy-control system for high-speed machining processes. Results of a case study.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2004

Embedded fuzzy-control system for machining processes: Results of a case study.
Computers in Industry, 2003

Feedback Linearization Using Neural Networks: Application to an Electromechanical Process.
Proceedings of the Artificial Neural Nets Problem Solving Methods, 2003

Embedded Fuzzy Control System in an Open Computerized Numerical Control; A Technology Transfer Case-Study.
Proceedings of the Fuzzy Sets and Systems - IFSA 2003, 10th International Fuzzy Systems Association World Congress, Istanbul, Turkey, June 30, 2003

Embedded Fuzzy Control System: Application to an Electromechanical System.
Proceedings of the Computational Science - ICCS 2003, 2003

Nonlinear Internal Model Control Using Neural Networks and Fuzzy Logic: Application to an Electromechanical Process.
Proceedings of the Computational Science - ICCS 2003, 2003

Dynamic Model of the Machining Process on the Basis of Neural Networks: From Simulation to Real Time Application.
Proceedings of the Computational Science - ICCS 2002, 2002

Tool Wear Prediction in Milling Using Neural Networks.
Proceedings of the Artificial Neural Networks, 2002

Toward intelligent machining: hierarchical fuzzy control for the end milling process.
IEEE Trans. Contr. Sys. Techn., 1998

Fuzzy Supervisory Control of End Milling Process.
Inf. Sci., 1996