Ensemble Neural Network Optimization Using a Gravitational Search Algorithm with Interval Type-1 and Type-2 Fuzzy Parameter Adaptation in Pattern Recognition Applications-Reference-Cited by-同舟云学术

Ensemble Neural Network Optimization Using a Gravitational Search Algorithm with Interval Type-1 and Type-2 Fuzzy Parameter Adaptation in Pattern Recognition Applications

Published:2018 Issue: Volume: Page:17-27
ISSN:1860-949X
Container-title:Fuzzy Logic Augmentation of Neural and Optimization Algorithms: Theoretical Aspects and Real Applications
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Author:

González Beatriz,Melin Patricia,Valdez Fevrier,Prado-Arechiga German

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-71008-2_2

Reference27 articles.

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3. D. Sánchez, P. Melin, O. Castillo, Optimization of modular granular neural networks using hierarchical genetic algorithms for human recognition using the ear biometric measure. Eng. Appl. Artif. Intell. 27, 41–56 (2014)

4. F. Valdez, P. Melin, O. Castillo, Modular Neural Networks architecture optimization with a new nature inspired method using a fuzzy combination of particle swarm optimization and genetic algorithms. Inf. Sci. 270(20), 143–153 (2014)

5. A. Zameer, J. Arshad, A. Khan, M. Asif, Intelligent and robust prediction of short term wind power using genetic programming based ensemble of neural networks. Energy Convers. Manag. 134(15), 361–372 (2017)

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