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ORCIDMaría de los Angeles Hernandez M.
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2010 – 2019
- 2015
[j6]María de los Angeles Hernandez M., Patricia Melin
, Gerardo M. Mendez, Oscar Castillo, Ismael López-Juárez:
A hybrid learning method composed by the orthogonal least-squares and the back-propagation learning algorithms for interval A2-C1 type-1 non-singleton type-2 TSK fuzzy logic systems. Soft Comput. 19(3): 661-678 (2015)- 2013
- [j5]Gerardo M. Mendez, María de los Angeles Hernandez M.:
Hybrid learning mechanism for interval A2-C1 type-2 non-singleton type-2 Takagi-Sugeno-Kang fuzzy logic systems. Inf. Sci. 220: 149-169 (2013) - [c9]Gerardo M. Mendez, María de los Angeles Hernandez M.:
Intelligent hybrid-learning mechanism for IT2 TSK NSFLS2 composed by REFIL-BP methods. IFSA/NAFIPS 2013: 1119-1124 - 2011
- [c8]Gerardo M. Mendez, María de los Angeles Hernandez Medina, David S. González, Ismael López-Juárez:
Interval singleton type-2 TSK fuzzy logic systems using orthogonal least-squares and backpropagation methods as hybrid learning mechanism. HIS 2011: 417-423 - 2010
- [j4]Gerardo M. Mendez, María de los Angeles Hernandez M.:
Interval type-1 non-singleton type-2 fuzzy logic systems are type-2 adaptive neuro-fuzzy inference systems. Int. J. Reason. based Intell. Syst. 2(2): 95-99 (2010) - [c7]Gerardo M. Mendez, María de los Angeles Hernandez M., Alberto Cavazos, Marco-Tulio Mata-Jiménez:
Type-1 Non-singleton Type-2 Takagi-Sugeno-Kang Fuzzy Logic Systems Using the Hybrid Mechanism Composed by a Kalman Type Filter and Back Propagation Methods. HAIS (1) 2010: 429-437 - [c6]Gerardo M. Mendez, María de los Angeles Hernandez M.:
Interval type-2 non-singleton type-2 Takagi-Sugeno-Kang fuzzy logic systems using the hybrid learning mechanism recursive-least-square and back-propagation methods. ICARCV 2010: 710-714 - [c5]Gerardo M. Mendez, María de los Angeles Hernandez Medina:
IT2 TSK NSFLS2 ANFIS. MICAI (Special Sessions) 2010: 89-93
2000 – 2009
- 2009
- [j3]Gerardo M. Mendez, María de los Angeles Hernandez M.:
Hybrid learning for interval type-2 fuzzy logic systems based on orthogonal least-squares and back-propagation methods. Inf. Sci. 179(13): 2146-2157 (2009) - [p3]Gerardo M. Mendez, María de los Angeles Hernandez Medina:
Hybrid Interval Type-1 Non-singleton Type-2 Fuzzy Logic Systems Are Type-2 Adaptive Neuro-fuzzy Inference Systems. Evolutionary Design of Intelligent Systems in Modeling, Simulation and Control 2009: 53-61 - [p2]Gerardo M. Mendez, María de los Angeles Hernandez M.:
Prediction of the MXNUSD Exchange Rate Using Hybrid IT2 FLS Forecaster. Bio-inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition 2009: 157-164 - 2008
- [c4]Gerardo M. Mendez, María de los Angeles Hernandez M.:
Hybrid IT2 NSFLS-1 Used to Predict the Uncertain MXNUSD Exchange Rate. HAIS 2008: 575-582 - [p1]Gerardo M. Mendez, María de los Angeles Hernandez M.:
Interval Type-2 ANFIS. Innovations in Hybrid Intelligent Systems 2008: 64-71 - 2007
- [j2]María de los Angeles Hernandez Medina, Gerardo M. Mendez:
Modelling and Prediction of the MXNUSD Exchange Rate Using Interval Singleton Type-2 Fuzzy Logic Systems [Application Notes]. IEEE Comput. Intell. Mag. 2(1): 5-8 (2007) - [j1]María de los Angeles Hernandez Medina, Gerardo M. Mendez:
Modelling and Prediction of the MXNUSD Exchange Rate Using Interval Singleton Type-2 Fuzzy Logic Systems. Eng. Lett. 15(1): 69-72 (2007) - [c3]Gerardo M. Mendez, María de los Angeles Hernandez M.:
Interval Type-1 Non-Singleton Type-2 TSK Fuzzy Logic Systems Using the Hybrid Training Method RLS-BP. FOCI 2007: 370-374 - 2006
- [c2]María de los Angeles Hernandez Medina, Gerardo Maximiliano Mendez:
Modeling and Prediction of the MXNUSD Exchange Rate Using Interval Singleton Type-2 Fuzzy Logic Systems. FUZZ-IEEE 2006: 2305-2308 - [c1]Gerardo M. Mendez, Luis Adolfo Leduc, María de los Angeles Hernandez M.:
First-order interval type-1 non-singleton type-2 TSK fuzzy logic systems. Computational Intelligence 2006: 269-273
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