José R. Alique

According to our database1, José R. Alique authored at least 23 papers between 1996 and 2010.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

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

2009
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

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

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

2007
Fuzzy Logic-Based Torque Control System for Milling Process Optimization.
IEEE Trans. Syst. Man Cybern. 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

2005
Controlling a complex electromechanical process on the basis of a neurofuzzy approach.
Future Gener. Comput. 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

2004
Nonlinear internal model control using neural networks: an application for machining processes.
Neural Comput. Appl., 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

2003
Embedded fuzzy-control system for machining processes: Results of a case study.
Comput. Ind., 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

2002
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

1998
Toward intelligent machining: hierarchical fuzzy control for the end milling process.
IEEE Trans. Control. Syst. Technol., 1998

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


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