Analytic Study of Complex Fractional Tsallis’ Entropy with Applications in CNNs

In this paper, we study Tsallis’ fractional entropy (TFE) in a complex domain by applying the definition of the complex probability functions. We study the upper and lower bounds of TFE based on some special functions. Moreover, applications in complex neural networks (CNNs) are illustrated to recog...

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Detalles Bibliográficos
Autores principales: Ibrahim, Rabha W., Darus, Maslina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7512285/
https://www.ncbi.nlm.nih.gov/pubmed/33265810
http://dx.doi.org/10.3390/e20100722
Descripción
Sumario:In this paper, we study Tsallis’ fractional entropy (TFE) in a complex domain by applying the definition of the complex probability functions. We study the upper and lower bounds of TFE based on some special functions. Moreover, applications in complex neural networks (CNNs) are illustrated to recognize the accuracy of CNNs.

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