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ORCIDMartha Pulido
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2020 – today
- 2024
[j6]Martha Pulido, Patricia Melin:
Bird Swarm Algorithm and Particle Swarm Optimization in Ensemble Recurrent Neural Networks Optimization for Time Series Prediction. Computación y Sistemas (CyS) 28(2) (2024)- [p12]Martha Pulido, Patricia Melin
:
Radial Basis Function Neural Network for Time Series Prediction: The Case of Yen Currency. New Directions on Hybrid Intelligent Systems 2024: 85-95 - 2022
- [j5]Martha Pulido, Patricia Melin:
Ensemble Recurrent Neural Network using Genetic Algorithm applied in Times Series Prediction. Computación y Sistemas 26(2) (2022) - [j4]Oscar Castillo, Juan R. Castro, Martha Pulido, Patricia Melin:
Interval type-3 fuzzy aggregators for ensembles of neural networks in COVID-19 time series prediction. Eng. Appl. Artif. Intell. 114: 105110 (2022) - 2021
- [c9]Patricia Melin, Daniela Sánchez, Martha Pulido, Oscar Castillo:
Convolutional Neural Network Design Using a Particle Swarm Optimization for Face Recognition. HIS 2021: 233-242 - [p11]Martha Pulido, Patricia Melin:
Ensemble Recurrent Neural Networks for Complex Time Series Prediction with Integration Methods. Fuzzy Logic Hybrid Extensions of Neural and Optimization Algorithms 2021: 71-83
2010 – 2019
- 2018
- [c8]Martha Pulido, Patricia Melin, Olivia Mendoza:
Optimization of Ensemble Neural Networks with Type-1 and Interval Type-2 Fuzzy Integration for Forecasting the Taiwan Stock Exchange. Advances in Data Analysis with Computational Intelligence Methods 2018: 169-181 - [p10]Martha Pulido, Patricia Melin, German Prado-Arechiga:
A New Model Based on a Fuzzy System for Arterial Hypertension Classification. Fuzzy Logic Augmentation of Neural and Optimization Algorithms 2018: 319-327 - 2017
- [p9]Martha Pulido, Patricia Melin, German Prado-Arechiga:
A New Method Based on Modular Neural Network for Arterial Hypertension Diagnosis. Nature-Inspired Design of Hybrid Intelligent Systems 2017: 195-205 - [p8]Martha Pulido, Patricia Melin, Olivia Mendoza:
Particle Swarm Optimization of Ensemble Neural Networks with Type-1 and Type-2 Fuzzy Integration for the Taiwan Stock Exchange. Nature-Inspired Design of Hybrid Intelligent Systems 2017: 409-421 - 2016
- [c7]Martha Pulido, Patricia Melin:
Genetic algorithm and Particle Swarm Optimization of ensemble neural networks with type-1 and type-2 fuzzy integration for prediction of the Taiwan Stock Exchange. IEEE Conf. on Intelligent Systems 2016: 140-145 - [c6]Martha Pulido, Patricia Melin:
Optimization of Ensemble Neural Networks with Type-1 and Type-2 Fuzzy Integration for Prediction of the Taiwan Stock Exchange. WCSC 2016: 151-164 - [p7]Patricia Melin, Martha Pulido, Oscar Castillo:
Ensemble Neural Network with Type-1 and Type-2 Fuzzy Integration for Time Series Prediction and Its Optimization with PSO. Imprecision and Uncertainty in Information Representation and Processing 2016: 375-388 - 2015
- [p6]Martha Pulido, Patricia Melin:
Ensemble Neural Network Optimization Using the Particle Swarm Algorithm with Type-1 and Type-2 Fuzzy Integration for Time Series Prediction. Fuzzy Logic Augmentation of Nature-Inspired Optimization Metaheuristics 2015: 139-149 - [p5]Martha Pulido, Patricia Melin:
Optimization of Ensemble Neural Networks with Fuzzy Integration Using the Particle Swarm Algorithm for Time Series Prediction. Design of Intelligent Systems Based on Fuzzy Logic, Neural Networks and Nature-Inspired Optimization 2015: 171-184 - 2014
- [j3]Patricia Melin, Martha Pulido:
Optimization of Ensemble Neural Networks with Type-2 Fuzzy Integration of Responses for the Dow Jones Time Series Prediction. Intell. Autom. Soft Comput. 20(3): 403-418 (2014) - [j2]Martha Pulido, Patricia Melin, Oscar Castillo:
Particle swarm optimization of ensemble neural networks with fuzzy aggregation for time series prediction of the Mexican Stock Exchange. Inf. Sci. 280: 188-204 (2014) - [c5]Martha Pulido, Patricia Melin, Oscar Castillo:
Design of Ensemble Neural Networks for Predicting the US Dollar/MX Time Series with Particle Swarm Optimization. WCSC 2014: 317-329 - [p4]Martha Pulido, Patricia Melin:
Ensemble Neural Network Optimization Using the Particle Swarm Algorithm with Type-1 and Type-2 Fuzzy Integration for Time Series Prediction. Recent Advances on Hybrid Approaches for Designing Intelligent Systems 2014: 99-112 - 2013
- [c4]Leticia Amador-Angulo, Oscar Castillo, Martha Pulido:
Comparison of fuzzy controllers for the water tank with Type-1 and Type-2 fuzzy logic. IFSA/NAFIPS 2013: 1062-1067 - [c3]Martha Pulido, Patricia Melin, Oscar Castillo:
Optimization of type-2 fuzzy integration in ensemble neural networks for predicting the US Dolar/MX pesos time series. IFSA/NAFIPS 2013: 1508-1512 - [c2]Martha Pulido, Patricia Melin, Oscar Castillo:
Optimization of ensemble neural networks with type-2 fuzzy response integration for predicting the Mackey-Glass time series. NaBIC 2013: 16-21 - [p3]Martha Pulido, Patricia Melin:
A New Method for Type-2 Fuzzy Integration in Ensemble Neural Networks Based on Genetic Algorithms. Recent Advances on Hybrid Intelligent Systems 2013: 173-182 - 2011
- [c1]Martha Pulido, Patricia Melin, Oscar Castillo:
Genetic optimization of ensemble neural networks for complex time series prediction. IJCNN 2011: 202-206 - 2010
- [j1]Martha Pulido, Alejandra Mancilla, Patricia Melin:
Ensemble neural networks with fuzzy logic integration for complex time series prediction. Int. J. Intell. Eng. Informatics 1(1): 89-103 (2010)
2000 – 2009
- 2009
- [p2]Martha Pulido, Alejandra Mancilla, Patricia Melin:
An Ensemble Neural Network Architecture with Fuzzy Response Integration for Complex Time Series Prediction. Evolutionary Design of Intelligent Systems in Modeling, Simulation and Control 2009: 85-110 - [p1]Martha Pulido, Alejandra Mancilla, Patricia Melin:
Ensemble Neural Networks with Fuzzy Integration for Complex Time Series Prediction. Bio-inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition 2009: 143-155
Coauthor Index
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