Jesus Soto
Affiliations:- Autonomous University of Baja California, Mexico
- Tijuana Institute of Technology, Mexico (former)
According to our database1,
Jesus Soto
authored at least 19 papers
between 2011 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2024
Optimal Fuzzy Logic Controller for DC Motor Using Grasshopper Optimization Algorithm.
Proceedings of the New Directions on Hybrid Intelligent Systems Based on Neural Networks, 2024
2022
Comput. Appl. Eng. Educ., 2022
2019
A New Approach to Multiple Time Series Prediction Using MIMO Fuzzy Aggregation Models with Modular Neural Networks.
Int. J. Fuzzy Syst., 2019
2018
A New Approach for Time Series Prediction Using Ensembles of IT2FNN Models with Optimization of Fuzzy Integrators.
Int. J. Fuzzy Syst., 2018
Ensembles of Type 2 Fuzzy Neural Models and Their Optimization with Bio-Inspired Algorithms for Time Series Prediction.
SpringerBriefs in Applied Sciences and Technology, Springer, ISBN: 978-3-319-71264-2, 2018
2017
Particle Swarm Optimization of the Fuzzy Integrators for Time Series Prediction Using Ensemble of IT2FNN Architectures.
Proceedings of the Nature-Inspired Design of Hybrid Intelligent Systems, 2017
Appl. Soft Comput., 2017
2015
Optimization of the Interval Type-2 Fuzzy Integrators in Ensembles of ANFIS Models for Time Series Prediction: Case of the Mexican Stock Exchange.
Proceedings of the Design of Intelligent Systems Based on Fuzzy Logic, 2015
Time Series Prediction Using Ensembles of ANFIS Models with Particle Swarm Optimization of the Fuzzy Integrators.
Proceedings of the Advances in Artificial Intelligence and Soft Computing, 2015
Optimization of the Fuzzy Integrators in Ensembles of ANFIS Model for Time Series Prediction: The case of Mackey-Glass.
Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology (IFSA-EUSFLAT-15), 2015
2014
Genetic Optimization of Type-2 Fuzzy Integrators in Ensembles of ANFIS Models for Time Series Prediction.
Proceedings of the Recent Advances on Hybrid Approaches for Designing Intelligent Systems, 2014
Time series prediction using ensembles of ANFIS models with genetic optimization of interval type-2 and type-1 fuzzy integrators.
Int. J. Hybrid Intell. Syst., 2014
Genetic Optimization of Type-1 and Interval Type-2 Fuzzy Integrators in Ensembles of ANFIS Models for Time Series Prediction.
Proceedings of the Recent Developments and New Direction in Soft-Computing Foundations and Applications, 2014
Optimization of the type-1 and interval type-2 fuzzy integrators in Ensembles of ANFIS models for prediction of the Dow Jones time series.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence and Data Mining, 2014
2013
Optimization of interval type-2 and type-1 fuzzy integrators in ensembles of ANFIS models with Genetic Algorithms.
Proceedings of the Fifth World Congress on Nature and Biologically Inspired Computing, 2013
Time series prediction using ensembles of neuro-fuzzy models with interval type-2 and type-1 fuzzy integrators.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013
A new approach for time series prediction using ensembles of ANFIS models with interval type-2 and type-1 fuzzy integrators.
Proceedings of the 2013 IEEE Conference on Computational Intelligence for Financial Engineering & Economics, 2013
2012
Expert Syst. Appl., 2012
2011
Proceedings of the Soft Computing for Intelligent Control and Mobile Robotics, 2011