Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Yutzil Poma"'
Autor:
Yutzil Poma, Patricia Melin
Publikováno v:
Computación y Sistemas. 26
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ff9cc8a7068dcbdc90e6330a9be238eb
https://doi.org/10.13053/cys-26-2-4265
https://doi.org/10.13053/cys-26-2-4265
Autor:
Yutzil Poma, Patricia Melin
Publikováno v:
Studies in Computational Intelligence ISBN: 9783031082658
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2e718fe7648568c0b9a1700f9fecde23
https://doi.org/10.1007/978-3-031-08266-5_5
https://doi.org/10.1007/978-3-031-08266-5_5
Publikováno v:
Journal of Automation, Mobile Robotics and Intelligent Systems. :109-120
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::be94f69a2c3c4845a4ae59caa30f64e1
https://doi.org/10.14313/jamris/1-2020/12
https://doi.org/10.14313/jamris/1-2020/12
Autor:
Patricia Melin, Yutzil Poma
Publikováno v:
Fuzzy Logic Hybrid Extensions of Neural and Optimization Algorithms: Theory and Applications ISBN: 9783030687755
Fuzzy Logic Hybrid Extensions of Neural and Optimization Algorithms
Fuzzy Logic Hybrid Extensions of Neural and Optimization Algorithms
In this paper, we propose to search for the best number of filters in the convolution layer of a convolutional neural network, we used a fuzzy logic system to find the most suitable parameters for the proposed case study. In addition to this we make
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c51bfac5f1be5a417e42a3941a6c4054
https://doi.org/10.1007/978-3-030-68776-2_1
https://doi.org/10.1007/978-3-030-68776-2_1
Publikováno v:
Intuitionistic and Type-2 Fuzzy Logic Enhancements in Neural and Optimization Algorithms: Theory and Applications ISBN: 9783030354442
Intuitionistic and Type-2 Fuzzy Logic Enhancements in Neural and Optimization Algorithms
Intuitionistic and Type-2 Fuzzy Logic Enhancements in Neural and Optimization Algorithms
This paper presents an approach to optimize the filter size of a convolutional neural network using the fuzzy gravitational search algorithm (FGSA). The FGSA method has been applied in others works to optimize traditional neural networks achieving go
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5f4b41e6fb96208172c12987b1f91742
https://doi.org/10.1007/978-3-030-35445-9_29
https://doi.org/10.1007/978-3-030-35445-9_29
Publikováno v:
Hybrid Intelligent Systems in Control, Pattern Recognition and Medicine ISBN: 9783030341343
Hybrid Intelligent Systems in Control, Pattern Recognition and Medicine
Hybrid Intelligent Systems in Control, Pattern Recognition and Medicine
In this paper we propose the optimization of a convolutional neural network (CNN) using the Fuzzy Gravitational Search Algorithm method (FGSA). The FGSA is inspired in extension of the Gravitational Search Algorithm (GSA) using fuzzy logic and this m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b2d59d047a5df7033edb48041e64ec74
https://doi.org/10.1007/978-3-030-34135-0_6
https://doi.org/10.1007/978-3-030-34135-0_6