Denisse Hidalgo

According to our database1, Denisse Hidalgo authored at least 17 papers between 2007 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2020
Fuzzy Parameter Adaptation in Genetic Algorithms for the Optimization of Fuzzy Integrators in Modular Neural Networks for Multimodal Biometry.
Computación y Sistemas, 2020

2018
Fuzzy Dynamic Adaptation of Gap Generation and Mutation in Genetic Optimization of Type 2 Fuzzy Controllers.
Adv. Oper. Res., 2018

2017
Non-singleton Interval Type-2 Fuzzy Systems as Integration Methods in Modular Neural Networks Used Genetic Algorithms to Design.
Proceedings of the Nature-Inspired Design of Hybrid Intelligent Systems, 2017

2012
An optimization method for designing type-2 fuzzy inference systems based on the footprint of uncertainty using genetic algorithms.
Expert Syst. Appl., 2012

2010
Comparative Study of Type-2 Fuzzy Inference System Optimization Based on the Uncertainty of Membership Functions.
Proceedings of the Soft Computing for Recognition Based on Biometrics, 2010

Type-2 Fuzzy Inference System Optimization Based on the Uncertainty of Membership Functions Applied to Benchmark Problems.
Proceedings of the Advances in Soft Computing, 2010

Optimization of type-2 fuzzy systems based on the level of uncertainty, applied to response integration in modular neural networks with multimodal biometry.
Proceedings of the International Joint Conference on Neural Networks, 2010

Optimal Design of Type-2 Fuzzy Membership Functions Using Genetic Algorithms in a Partitioned Search Space.
Proceedings of the 2010 IEEE International Conference on Granular Computing, 2010

Evolutionary optimization of type-2 fuzzy systems based on the level of uncertainty.
Proceedings of the FUZZ-IEEE 2010, 2010

2009
Optimization of Modular Neural Networks with Interval Type-2 Fuzzy Logic Integration Using an Evolutionary Method with Application to Multimodal Biometry.
Proceedings of the Bio-inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition, 2009

Type-1 and type-2 fuzzy inference systems as integration methods in modular neural networks for multimodal biometry and its optimization with genetic algorithms.
Inf. Sci., 2009

Optimization of Type-2 Fuzzy Integration in Modular Neural Networks Using an Evolutionary Method with Applications in Multimodal Biometry.
Proceedings of the MICAI 2009: Advances in Artificial Intelligence, 2009

2008
Type-1 and Type-2 Fuzzy Inference Systems as Integration Methods in Modular Neural Networks for Multimodal Biometry and Its Optimization with Genetic Algorithms.
Proceedings of the Soft Computing for Hybrid Intelligent Systems, 2008

Interval type-2 fuzzy inference systems as integration methods in modular neural networks for multimodal biometry and its optimisation with genetic algorithms.
Int. J. Biom., 2008

Optimization with genetic algorithms of modular neural networks using interval type-2 fuzzy logic for response integration: The case of multimodal biometry.
Proceedings of the International Joint Conference on Neural Networks, 2008

2007
A Method for Response Integration in Modular Neural Networks with Type-2 Fuzzy Logic for Biometric Systems.
Proceedings of the Analysis and Design of Intelligent Systems using Soft Computing Techniques, 2007

A New Method for Response Integration in Modular Neural Networks using Type-2 Fuzzy Logic for Biometric Systems.
Proceedings of the International Joint Conference on Neural Networks, 2007


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