Single Gaussian Chaotic Neuron : Numerical Study and Implementation in an Embedded System
Joint Authors
Rodríguez-Liñán, Angel
González-Estrada, Luis
González-Sanmiguel, Gustavo
Torres-Treviño, Luis M.
Source
Discrete Dynamics in Nature and Society
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-03-12
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
Artificial Gaussian neurons are very common structures of artificial neural networks like radial basis function.
These artificial neurons use a Gaussian activation function that includes two parameters called the center of mass (cm) and sensibility factor (λ).
Changes on these parameters determine the behavior of the neuron.
When the neuron has a feedback output, complex chaotic behavior is displayed.
This paper presents a study and implementation of this particular neuron.
Stability of fixed points, bifurcation diagrams, and Lyapunov exponents help to determine the dynamical nature of the neuron, and its implementation on embedded system illustrates preliminary results toward embedded chaos computation.
American Psychological Association (APA)
Torres-Treviño, Luis M.& Rodríguez-Liñán, Angel& González-Estrada, Luis& González-Sanmiguel, Gustavo. 2013. Single Gaussian Chaotic Neuron : Numerical Study and Implementation in an Embedded System. Discrete Dynamics in Nature and Society،Vol. 2013, no. 2013, pp.1-11.
https://search.emarefa.net/detail/BIM-463123
Modern Language Association (MLA)
Torres-Treviño, Luis M.…[et al.]. Single Gaussian Chaotic Neuron : Numerical Study and Implementation in an Embedded System. Discrete Dynamics in Nature and Society No. 2013 (2013), pp.1-11.
https://search.emarefa.net/detail/BIM-463123
American Medical Association (AMA)
Torres-Treviño, Luis M.& Rodríguez-Liñán, Angel& González-Estrada, Luis& González-Sanmiguel, Gustavo. Single Gaussian Chaotic Neuron : Numerical Study and Implementation in an Embedded System. Discrete Dynamics in Nature and Society. 2013. Vol. 2013, no. 2013, pp.1-11.
https://search.emarefa.net/detail/BIM-463123
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-463123