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Neural Net Gains Estimation Based on an Equivalent Model
Joint Authors
Aguilar Cruz, Karen Alicia
Medel Juárez, José de Jesús
Fernández Muñoz, José Luis
Esmeralda Vigueras Velázquez, Midory
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2016, Issue 2016 (31 Dec. 2015), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-06-05
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
A model of an Equivalent Artificial Neural Net (EANN) describes the gains set, viewed as parameters in a layer, and this consideration is a reproducible process, applicable to a neuron in a neural net (NN).
The EANN helps to estimate the NN gains or parameters, so we propose two methods to determine them.
The first considers a fuzzy inference combined with the traditional Kalman filter, obtaining the equivalent model and estimating in a fuzzy sense the gains matrix A and the proper gain K into the traditional filter identification.
The second develops a direct estimation in state space, describing an EANN using the expected value and the recursive description of the gains estimation.
Finally, a comparison of both descriptions is performed; highlighting the analytical method describes the neural net coefficients in a direct form, whereas the other technique requires selecting into the Knowledge Base (KB) the factors based on the functional error and the reference signal built with the past information of the system.
American Psychological Association (APA)
Aguilar Cruz, Karen Alicia& Medel Juárez, José de Jesús& Fernández Muñoz, José Luis& Esmeralda Vigueras Velázquez, Midory. 2016. Neural Net Gains Estimation Based on an Equivalent Model. Computational Intelligence and Neuroscience،Vol. 2016, no. 2016, pp.1-10.
https://search.emarefa.net/detail/BIM-1099585
Modern Language Association (MLA)
Aguilar Cruz, Karen Alicia…[et al.]. Neural Net Gains Estimation Based on an Equivalent Model. Computational Intelligence and Neuroscience Vol. 2016, no. 2016 (2015), pp.1-10.
https://search.emarefa.net/detail/BIM-1099585
American Medical Association (AMA)
Aguilar Cruz, Karen Alicia& Medel Juárez, José de Jesús& Fernández Muñoz, José Luis& Esmeralda Vigueras Velázquez, Midory. Neural Net Gains Estimation Based on an Equivalent Model. Computational Intelligence and Neuroscience. 2016. Vol. 2016, no. 2016, pp.1-10.
https://search.emarefa.net/detail/BIM-1099585
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1099585