Luis M. Torres-Treviño

发表

Smart Selection of Materials for Product Prototype Fabrication

Francisco Torres, Leticia Neira, Luis M. Torres-Treviño, 2017, MICAI.

Control by Imitation Using a Maximum Sensibility Neural Network

Angel Rodríguez-Liñán, Luis M. Torres-Treviño, Erick Ordaz-Rivas, 2015, MICAI.

Use of PSO for Obtaining Solution of the Inverse Robot Dynamic Model

Angel Rodríguez-Liñán, Luis M. Torres-Treviño, Carlos Alberto Yahir Hervert Cano, 2013, Res. Comput. Sci..

Change of Behavior on Swarm Robotics Using Repulsion and Attraction

Angel Rodríguez-Liñán, Luis M. Torres-Treviño, Mario Aguilera-Ruiz, 2015, 2015 Fourteenth Mexican International Conference on Artificial Intelligence (MICAI).

Artificial Neural Network for Optimization of a Synthesis Process of γ-Bi2MoO6 Using Surface Response Methodology

Luis M. Torres-Treviño, Guillermo González-Campos, Edith Luévano-Hipólito, 2012, MICAI.

Collaboration of Robot Swarms with a Relation of Individuals with Prey-Predator Type

Angel Rodríguez-Liñán, Luis M. Torres-Treviño, Erick Ordaz-Rivas, 2018 .

Identification and prediction using symbolic regression alpha-beta: preliminary results

Luis M. Torres-Treviño, 2014, GECCO.

Intelligent Sensor for Fault Detection in Glucose Measuring System

Luis M. Torres-Treviño, Griselda Quiroz, Jazmin Martinez-Alvarado, 2016, 2016 Fifteenth Mexican International Conference on Artificial Intelligence (MICAI).

Collective Motion of a Swarm of Simulated Quadrotors Using Repulsion, Attraction and Orientation Rules

Angel Rodríguez-Liñán, Luis M. Torres-Treviño, Mario Aguilera-Ruiz, 2016, MICAI.

Parameter Estimation Based on Evolutionary Computation for P-Class Chaotic Systems

Luis M. Torres-Treviño, Angel Rodríguez, 2012 .

An Embedded Fuzzy Self-tuning PID Controller for a Temperature Control System of Peltier Cells

Luis M. Torres-Treviño, Aldebaran A. Alonso-Carreón, Miguel Platas, 2015, MICAI.

An expert system for setting parameters in machining processes

Luis M. Torres-Treviño, Rolando J. Praga-Alejo, Indira G. Escamilla-Salazar, 2013, Expert Syst. Appl..

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..

Machining optimization using swarm intelligence in titanium (6Al 4V) alloy

Luis M. Torres-Treviño, Indira G. Escamilla-Salazar, Bernardo González-Ortíz, 2013 .

Let the swarm be: an implicit elitism in swarm intelligence

Luis M. Torres-Treviño, L. Torres-Treviño, 2017, Int. J. Bio Inspired Comput..

Universal Swarm Optimizer for Multi-objective Functions

Luis M. Torres-Treviño, Luis A. Márquez-Vega, 2018, MICAI.

Reconfigurable Logical Cells Using a Maximum Sensibility Neural Network

Luis M. Torres-Treviño, Manuel Ortiz Salazar, 2014, 2014 13th Mexican International Conference on Artificial Intelligence.

Multi-objective optimization of a welding process by the estimation of the Pareto optimal set

Luis M. Torres-Treviño, Rolando J. Praga-Alejo, Felipe A. Reyes-Valdes, 2011, Expert Syst. Appl..

Collective Tasks for a Flock of Robots Using Influence Factor

Angel Rodríguez-Liñán, Luis M. Torres-Treviño, Erick Ordaz-Rivas, 2018, Journal of Intelligent & Robotic Systems.

Establishing a Simplified Functional Relationship between EMG Signals and Actuation Signals Using Artificial Neural Networks

Luis M. Torres-Treviño, Griselda Quiroz, Raul Almada-Aguilar, 2014, 2014 13th Mexican International Conference on Artificial Intelligence.

Clusterized KNN for EEG Channel Selection and Prototyping of Lower Limb Joint Torques

Angel Rodríguez-Liñán, Luis M. Torres-Treviño, Griselda Quiroz, 2019, MICAI.

Characterization of Environment Using the Collective Perception of a Smart Swarm Robotics Based on Data from Local Sensors

Luis M. Torres-Treviño, Heberi Tello-Rodríguez, 2018 .

Single Gaussian Chaotic Neuron: Numerical Study and Implementation in an Embedded System

Angel Rodríguez-Liñán, Luis M. Torres-Treviño, Luis González-Estrada, 2013 .

On-Line Learning in an Embedded Maximum Sensibility Neural Network

Luis M. Torres-Treviño, Gustavo Gonzalez Sanmiguel, Luis Lauro Gonzalez, 2012, 2012 11th Mexican International Conference on Artificial Intelligence.

Evolutionary Robot with the Task to Remain Standing

Angel Rodríguez-Liñán, Luis M. Torres-Treviño, Antonio Zalapa-Elias, 2015, 2015 Fourteenth Mexican International Conference on Artificial Intelligence (MICAI).

An Introductive Training for Welding Workshop: A Biometric Evaluation Using Virtual Reality Scenes to Improve Practice

Luis M. Torres-Treviño, Francisco Torres-Guerrero, Leticia Neira-Tovar, 2019 .

The ridge method in a radial basis function neural network

Luis M. Torres-Treviño, Mario Cantú-Sifuentes, David S. González-González, 2015 .

Collective Behaviors in Swarms of Builder Robots

Angel Rodríguez-Liñán, Luis M. Torres-Treviño, Erick Ordaz-Rivas, 2019 .

Control by Learning in a Temperature System Using a Maximum Sensibility Neural Network

Angel Rodríguez-Liñán, Luis M. Torres-Treviño, D. Cabrera-Gaona, 2013, 2013 12th Mexican International Conference on Artificial Intelligence.

Control by Online Learning Using a Maximum Sensibility Neural Network

Angel Rodríguez-Liñán, Luis M. Torres-Treviño, Mario Aguilera-Ruiz, 2014, 2014 13th Mexican International Conference on Artificial Intelligence.

An Embedded Fuzzy Agent for Online Tuning of a PID Controller for Position Control of a DC Motor

Angel Rodríguez-Liñán, Luis M. Torres-Treviño, Luis A. Alvarado-Yañez, 2013, MICAI.

Modeling Synthesis Processes of Photocatalysts Using Symbolic Regression α-β

Luis M. Torres-Treviño, Guillermo González-Campos, Edith Luévano-Hipólito, 2014, 2014 13th Mexican International Conference on Artificial Intelligence.

An Embedded Generation of Fuzzy Rules Implemented in a Remote Car Driving

Luis M. Torres-Treviño, Griselda Quiroz, Miguel Angel Tovar Estrada, 2015, 2015 Fourteenth Mexican International Conference on Artificial Intelligence (MICAI).

Statistical inference in a redesigned Radial Basis Function neural network

Luis M. Torres-Treviño, Pedro Perez-Villanueva, Mario Cantú-Sifuentes, 2013, Eng. Appl. Artif. Intell..

Mathematical Model of Glucose Metabolism by Symbolic Regression \alpha \beta

Luis M. Torres-Treviño, L. Torres-Treviño, 2016, MICAI.

Symbolic regression using α- β operators and estimation of distribution algorithms: preliminary results

Luis M. Torres-Treviño, 2011, GECCO '11.

Off-line Tuning of a PID Controller Using Type-2 Fuzzy Logic

Angel Rodríguez-Liñán, Luis M. Torres-Treviño, Heberi R. Tello-Rdz, 2016, MICAI.

Analysis and evaluation in a welding process applying a Redesigned Radial Basis Function

Luis M. Torres-Treviño, David S. González-González, Rolando J. Praga-Alejo, 2012, Expert Syst. Appl..

Prediction of Car Accidents Using a Maximum Sensitivity Neural Network

Francisco Torres, Luis M. Torres-Treviño, Erika Contreras, 2018 .

A Radial Basis Function Redesigned for Predicting a Welding Process

Luis M. Torres-Treviño, David S. González-González, Rolando J. Praga-Alejo, 2010, MICAI.

A mathematical model of a cold rolling mill by symbolic regression alpha-beta

Luis M. Torres-Treviño, Luis A. Alvarado-Yañez, F. Gonzalez, 2014, GECCO.

Multi-objective optimization of a quadrotor flock performing target zone search

Luis M. Torres-Treviño, Mario Aguilera-Ruiz, Luis A. Márquez-Vega, 2021, Swarm Evol. Comput..

Implementation of a Single Chaotic Neuron Using an Embedded System

Angel Rodríguez-Liñán, Luis M. Torres-Treviño, Luis González-Estrada, 2012, MICAI.

Hybrid BCI approach to control an artificial tibio-femoral joint

Angel Rodríguez-Liñán, Luis M. Torres-Treviño, Griselda Quiroz, 2016, 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Adjustment of Sensitive Parameters of a Mathematical Model of Glucose Metabolism Using an Evolutionary Algorithm

Ricardo Femat, G. Quiroz, Luis M. Torres-Treviño, 2015 .

Implementation of an Intelligent Robotized GMAW Welding Cell, Part 1: Design and Simulation

Ismael Lopez-Juarez, Luis M. Torres-Treviño, I. Davila-Rios, 2010 .

Decoding the torque of lower limb joints from EEG recordings of pre-gait movements using a machine learning scheme

José Maria Azorín, Angel Rodríguez-Liñán, Hugo Vélez-Pérez, 2021, Neurocomputing.