L.E. Zarate

An artificial neural network structure able to obstacle avoidance behavior used in mobile robots

L.E. Zarate, M. Becker, B.D.M. Garrido, 2002, IEEE 2002 28th Annual Conference of the Industrial Electronics Society. IECON 02.

Artificial neural networks applied for representation of curves current-voltage of photovoltaic modules

L.E. Zarate, L. de Vilhena B. Machado, D.A. Soares, 2008, 2008 6th IEEE International Conference on Industrial Informatics.

An Approach to Knowledge Extraction From ANN Through Formal Concept Analysis - Computational Tool Proposal: SOPHIANN

Bruno M. Nogueira, Mark A. J. Song, L.E. Zarate, 2006, 2006 IEEE International Symposium on Industrial Electronics.

Reduction of the entries number of the training set for ANN through formal concept analysis and its application to solar energy systems

L.E. Zarate, E.M.D. Pereira, R. Vimieiro, 2005, Proceedings of the 2005 IEEE Midnight-Summer Workshop on Soft Computing in Industrial Applications, 2005. SMCia/05..

Using the NextClosure algorithm to extract rules from trained neural networks application in solar energy systems

Luis E. Zárate, L.E. Zarate, E.M.D. Pereira, 2005, Proceedings of the 2005 IEEE Midnight-Summer Workshop on Soft Computing in Industrial Applications, 2005. SMCia/05..

Optimization of the neural structure based on domain expert previous knowledge via GA and sensitivity factors

L.E. Zarate, F.R. Bittencout, 2008, 2008 6th IEEE International Conference on Industrial Informatics.

A predictive thickness control structure and decision about the better control parameter for the cold rolling process through sensitivity factors via neural networks

L.E. Zarate, 2005, Proceedings of the 2005 IEEE Midnight-Summer Workshop on Soft Computing in Industrial Applications, 2005. SMCia/05..

Determination of the thickness control parameters of the rolling process through the sensitivity method, using neural networks

L.E. Zarate, H. Helman, 1999, Proceedings of the Second International Conference on Intelligent Processing and Manufacturing of Materials. IPMM'99 (Cat. No.99EX296).

FCANN: An Approach to Knowledge Representation From ANN Through FCA Effects of Synthetic Data Base and Discretization Process, Application in the Cold Rolling Process

L.E. Zarate, S.M. Dias, 2006, 2006 IEEE International Conference on Industrial Technology.

FCANN: An Approach to Knowledge Representation From ANN Through Formal Concept Analysis - Application in the Cold Rolling Process

Luis E. Zárate, L.E. Zarate, S.M. Dias, 2006, IECON 2006 - 32nd Annual Conference on IEEE Industrial Electronics.

A fuzzy logic and variable structure based controller for pH control

L.E. Zarate, P. Resende, B. Menezes, 2001, IECON'01. 27th Annual Conference of the IEEE Industrial Electronics Society (Cat. No.37243).

Neural networks and fuzzy rules based control for cold rolling process via sensitivity factors

L.E. Zarate, F.R. Bittencout, 2001, IECON'01. 27th Annual Conference of the IEEE Industrial Electronics Society (Cat. No.37243).