Daniela Sánchez
Daniela Sánchez
Tijuana Institute of Technology
Verified email at tectijuana.edu.mx
Title
Cited by
Cited by
Year
Optimization of modular granular neural networks using a firefly algorithm for human recognition
D Sánchez, P Melin, O Castillo
Engineering Applications of Artificial Intelligence 64, 172-186, 2017
1142017
Genetic optimization of modular neural networks with fuzzy response integration for human recognition
P Melin, D Sánchez, O Castillo
Information Sciences 197, 1-19, 2012
1072012
Optimization of modular granular neural networks using hierarchical genetic algorithms for human recognition using the ear biometric measure
D Sánchez, P Melin
Engineering Applications of Artificial Intelligence 27, 41-56, 2014
982014
Multi-objective optimization for modular granular neural networks applied to pattern recognition
P Melin, D Sánchez
Information Sciences 460, 594-610, 2018
882018
A grey wolf optimizer for modular granular neural networks for human recognition
D Sánchez, P Melin, O Castillo
Computational intelligence and neuroscience 2017, 2017
662017
Multiple ensemble neural network models with fuzzy response aggregation for predicting COVID-19 time series: the case of Mexico
P Melin, JC Monica, D Sanchez, O Castillo
Healthcare 8 (2), 181, 2020
642020
Optimization of modular granular neural networks using a hierarchical genetic algorithm based on the database complexity applied to human recognition
D Sánchez, P Melin, O Castillo
Information Sciences 309, 73-101, 2015
582015
Analysis of spatial spread relationships of coronavirus (COVID-19) pandemic in the world using self organizing maps
P Melin, JC Monica, D Sanchez, O Castillo
Chaos, Solitons & Fractals 138, 109917, 2020
542020
Modular neural network with fuzzy integration and its optimization using genetic algorithms for human recognition based on iris, ear and voice biometrics
D Sánchez, P Melin
Soft computing for recognition based on biometrics, 85-102, 2010
442010
Comparison of particle swarm optimization variants with fuzzy dynamic parameter adaptation for modular granular neural networks for human recognition
D Sanchez, P Melin, O Castillo
Journal of Intelligent & Fuzzy Systems 38 (3), 3229-3252, 2020
322020
Hierarchical genetic algorithms for optimal type-2 fuzzy system design
P Melin, D Sanchez, L Cervantes
2011 Annual Meeting of the North American Fuzzy Information Processing …, 2011
292011
Modular granular neural networks optimization with multi-objective hierarchical genetic algorithm for human recognition based on iris biometric
D Sánchez, P Melin, O Castillo, F Valdez
2013 IEEE Congress on Evolutionary Computation, 772-778, 2013
242013
Healthcare. vol. 8
P Melin, JC Monica, D Sanchez, O Castillo
Multidisciplinary Digital Publishing Institute, 2020
142020
Modular Neural networks for time series prediction using type-1 fuzzy logic integration
D Sánchez, P Melin
Design of Intelligent Systems Based on Fuzzy Logic, Neural Networks and …, 2015
132015
Modular neural networks optimization with hierarchical genetic algorithms with fuzzy response integration for pattern recognition
D Sánchez, P Melin, O Castillo, F Valdez
Mexican International Conference on Artificial Intelligence, 247-258, 2012
132012
Optimization of type-1, interval type-2 and general type-2 fuzzy inference systems using a hierarchical genetic algorithm for modular granular neural networks
P Melin, D Sánchez
Granular Computing 4 (2), 211-236, 2019
112019
Fuzzy system optimization using a hierarchical genetic algorithm applied to pattern recognition
D Sanchez, P Melin, O Castillo
Intelligent Systems' 2014, 713-720, 2015
112015
Optimization of modular neural networks and type-2 fuzzy integrators using hierarchical genetic algorithms for human recognition
D Sanchez, P Melin
IFSA World Congress, 2011
112011
Comparison of optimization techniques for modular neural networks applied to human recognition
D Sánchez, P Melin, J Carpio, H Puga
Nature-inspired design of hybrid intelligent systems, 225-241, 2017
92017
Hierarchical modular granular neural networks with fuzzy aggregation
D Sanchez, P Melin
Springer International Publishing, 2016
82016
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