Parameter Estimation of a Class of Neural Systems with Limit Cycles

This work addresses parameter estimation of a class of neural systems with limit cycles. An identification model is formulated based on the discretized neural model. To estimate the parameter vector in the identification model, the recursive least-squares and stochastic gradient algorithms including...

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Detalles Bibliográficos

Principais autores:	Xuyang Lou, Xu Cai, Baotong Cui
Formato:	Artigo
Idioma:	Inglês
Publicado:	MDPI AG 2018-10-01
Series:	Algorithms
Assuntos:	parameter estimation neural system recursive least-squares algorithm stochastic gradient algorithm innovation
Acceso en liña:	https://www.mdpi.com/1999-4893/11/11/169
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