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...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2018-10-01
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Series: | Algorithms |
Subjects: | |
Online Access: | https://www.mdpi.com/1999-4893/11/11/169 |