Cargando…
Optimization of fractional-order chaotic cellular neural networks by metaheuristics
Artificial neural networks have demonstrated to be very useful in solving problems in artificial intelligence. However, in most cases, ANNs are considered integer-order models, limiting the possible applications in recent engineering problems. In addition, when dealing with fractional-order neural n...
Autores principales: | Tlelo-Cuautle, Esteban, González-Zapata, Astrid Maritza, Díaz-Muñoz, Jonathan Daniel, de la Fraga, Luis Gerardo, Cruz-Vega, Israel |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8777432/ https://www.ncbi.nlm.nih.gov/pubmed/35079326 http://dx.doi.org/10.1140/epjs/s11734-022-00452-6 |
Ejemplares similares
-
FPAA-based implementation of fractional-order chaotic oscillators using first-order active filter blocks
por: Silva-Juárez, Alejandro, et al.
Publicado: (2020) -
Analogdigital implementation of fractional order chaotic circuits and applications
por: Tlelo-Cuautle, Esteban, et al.
Publicado: (2019) -
Chaotic Image Encryption Using Hopfield and Hindmarsh–Rose Neurons Implemented on FPGA
por: Tlelo-Cuautle, Esteban, et al.
Publicado: (2020) -
Engineering applications of fpgas: chaotic systems, artificial neural networks, random number generators, and secure communication systems
por: Tlelo-Cuautle, Esteban, et al.
Publicado: (2016) -
Fractional-Order Approximation of PID Controller for Buck–Boost Converters
por: S. Sánchez, Allan G., et al.
Publicado: (2021)