Direct and Indirect Evolutionary Designs of Artificial Neural Networks

Autor: Horacio Rostro-Gonzalez, Andrés Espinal, Marco Aurelio Sotelo-Figueroa, Omar-Jair Purata-Sifuentes, Valentin Calzada-Ledesma, G. López-Vázquez, O. Alba-Cisneros, R. A. Vázquez

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

Evolutionary Algorithms (EAs) and other kind of metaheuristics are utilized to either design or optimize the architecture of Artificial Neural Networks (ANNs) in order to adapt them for solving a specific problem; these generated ANNs are known as Ev

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::eec7b7fa3321256a19e62fd3a6ba9b01
https://doi.org/10.1007/978-3-030-35445-9_31

Evolutionary Spiking Neural Networks for Solving Supervised Classification Problems

Autor: G. López-Vázquez, Manuel Ornelas-Rodríguez, Horacio Rostro-Gonzalez, Alfonso Rojas-Domínguez, Jorge A. Soria-Alcaraz, Hector J. Puga-Soberanes, Andrés Espinal, Juan Martín Carpio

Publikováno v: Computational Intelligence and Neuroscience
Computational Intelligence and Neuroscience, Vol 2019 (2019)

This paper presents a grammatical evolution (GE)-based methodology to automatically design third generation artificial neural networks (ANNs), also known as spiking neural networks (SNNs), for solving supervised classification problems. The proposal

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c289de61e6159cdfb6ea818f247b7feb
http://europepmc.org/articles/PMC6458934

Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.