G. Mendez

发表

Interval type-2 fuzzy logic systems optimized by central composite design to create a simplified fuzzy rule base in image processing for quality control application

P. N. Montes Dorantes, Adriana Mexicano Santoyo, G. Mendez, 2019, The International Journal of Advanced Manufacturing Technology.

A hybrid learning method composed by the orthogonal least-squares and the back-propagation learning algorithms for interval A2-C1 type-1 non-singleton type-2 TSK fuzzy logic systems

P. Melin, O. Castillo, I. López-Juárez, 2014, Soft Computing.

FUZZY LOOK-UP TABLE FOR KNOWLEDGE MANAGEMENT AND DECISION MAKING

Pascual Noradino Montes Dorantes, Gerardo M. Mendez, Marco Aurelio Jiménez Gómez, 2017 .

A Comparative Study of Type 1 Singleton Fuzzy Logic Systems in Machining Application

Pascual Noradino Montes Dorantes, Gerardo M. Mendez, Marco Aurelio Jiménez Gómez, 2014, Res. Comput. Sci..

Fault Detection Systems via a Novel hybrid Methodology for Fuzzy Logic Systems based on Individual base inference and Statistical Process Control

Pascual Noradino Montes Dorantes, Pascual Noradino Montes Dorantes, Gerardo Maximiliano Mendez, 2014, IEEE Latin America Transactions.

Orthogonal-least-squares and backpropa- gation hybrid learning algorithm for interval A2-C1 singleton type-2 Takagi-Sugeno-Kang fuzzy logic systems

Gerardo M. Mendez, J. Cruz Martinez, David S. González, 2014, Int. J. Hybrid Intell. Syst..

Interval singleton type-2 TSK fuzzy logic systems using orthogonal least-squares and backpropagation methods as hybrid learning mechanism

Ismael Lopez-Juarez, Gerardo M. Mendez, M. MaríadelosAngelesHernandez, 2011, 2011 11th International Conference on Hybrid Intelligent Systems (HIS).

Interval Type-2 TSK Fuzzy Logic Systems Using Hybrid Learning Algorithm

Oscar Castillo, Gerardo M. Mendez, O. Castillo, 2005, The 14th IEEE International Conference on Fuzzy Systems, 2005. FUZZ '05..

Fast Object Recognition for Grasping Tasks using Industrial Robots

Roman Osorio, Ismael Lopez-Juarez, Reyes Rios-Cabrera, 2012 .

Hybrid learning mechanism for interval A2-C1 type-2 non-singleton type-2 Takagi-Sugeno-Kang fuzzy logic systems

Gerardo M. Mendez, M. MaríadelosAngelesHernandez, G. Mendez, 2013, Inf. Sci..

Hybrid learning for interval type-2 fuzzy logic systems based on orthogonal least-squares and back-propagation methods

Gerardo M. Mendez, M. MaríadelosAngelesHernandez, G. Mendez, 2009, Inf. Sci..

A hybrid learning method composed by the orthogonal least-squares and the back-propagation learning algorithms for interval A2-C1 type-1 non-singleton type-2 TSK fuzzy logic systems

Patricia Melin, Ismael Lopez-Juarez, Gerardo M. Mendez, 2015, Soft Comput..

Type-1 and type-2 radial basis function neural networks Mandami system to evaluate quality features

Pascual Noradino Montes Dorantes, Marco Aurelio Jiménez Gómez, Adriana Mexicano Santoyo, 2021, The International Journal of Advanced Manufacturing Technology.

Interval type-2 fuzzy logic systems optimized by central composite design to create a simplified fuzzy rule base in image processing for quality control application

Pascual Noradino Montes Dorantes, Gerardo Maximiliano Méndez, Pascual Noradino Montes Dorantes, 2019, The International Journal of Advanced Manufacturing Technology.

One-step models for soft computing techniques. Industrial application to image processing in quality assurance process

Pascual Noradino Montes Dorantes, Juan Pablo Nieto González, Marco Aurelio Jiménez Gómez, 2015, The International Journal of Advanced Manufacturing Technology.

One-step models for soft computing techniques. Industrial application to image processing in quality assurance process

Pascual Noradino Montes Dorantes, Juan Pablo Nieto González, Marco Aurelio Jiménez Gómez, 2015 .

Finishing mill strip gage setup and control by interval type-1 non-singleton type-2 fuzzy logic systems

Oscar Castillo, Gerardo M. Mendez, Héctor Moreno, 2014, Appl. Soft Comput..

Dynamic adaptation of the PID’s gains via Interval type-1 non-singleton type-2 fuzzy logic systems whose parameters are adapted using the backpropagation learning algorithm

Pascual Noradino Montes Dorantes, Maria Aracelia Alcorta-Garcia, Gerardo M. Méndez, 2020, Soft Comput..

A Singleton Type-1 Fuzzy Logic Controller for On-Line Error Compensation During Robotic Welding

Ismael Lopez-Juarez, Gerardo M. Mendez, Roman Osorio-Comparan, 2017, Int. J. Comput. Commun. Control.

A New Method for the Design of Interval Type-3 Fuzzy Logic Systems With Uncertain Type-2 Non-Singleton Inputs (IT3 NSFLS-2): A Case Study in a Hot Strip Mill

Pascual Noradino Montes Dorantes, I. López-Juárez, G. Mendez, 2023, IEEE Access.

Modelling recalescence after stock reduction during hot strip rolling

Rafael Colás, Gerardo M. Mendez, Alberto Cavazos, 2006 .

HybridH2∕H∞sub-optimal stochastic risk-sensitive control for polynomial systems of first degree

G. Méndez, Ma. Aracelia Alcorta Garcia, Sonia Gpe. Anguiano Rostro, 2021 .

A non-linear fuzzy regression for estimating reliability in a degradation process

Gerardo M. Mendez, Luis M. Torres-Treviño, Mario Cantú-Sifuentes, 2014, Appl. Soft Comput..

Modelling and Prediction of the MXNUSD Exchange Rate Using Interval Singleton Type-2 Fuzzy Logic Systems

Gerardo M. Mendez, M. MaríadelosAngelesHernandez, G. Mendez, 2007, Eng. Lett..