This work addresses parameter estimation of a class of neural systems with limit cycles. An identification model is formulated based on the discretized ...
Oct 26, 2018 · Abstract: This work addresses parameter estimation of a class of neural systems with limit cycles. An identification model is formulated ...
Parameter Estimation of a Class of Neural Systems with Limit Cycles · X. Lou, Xu Cai, B. Cui · Published in Algorithms 26 October 2018 · Computer Science, ...
This work addresses parameter estimation of a class of neural systems with limit cycles. An identification model is formulated based on the discretized ...
This work addresses parameter estimation of a class of neural systems with limit cycles. An identification model is formulated based on the discretized ...
Parameter Estimation of a Class of Neural Systems with Limit Cycles. Algorithms 2018, 11, 169. https://doi.org/10.3390/a11110169. AMA Style. Lou X, Cai X, Cui ...
Nov 1, 2024 · The NN is used to estimate the parameter's values of the Lotka-Volterra system, which are later applied to solve the system using a fourth ...
May 26, 2020 · Then, call the limit cycle the projection of the phase trajectory onto the plane in a pairwise combination of state variables (x−y,y−z,x−z).
Missing: Class Neural
Our technique combines ideas from control theory and optimization, and amounts to using data to “control” estimates toward the best fit. Our method compares ...
Aug 14, 2024 · Limit cycles and bifurcations are key concepts in nonlinear systems. They help us understand how systems oscillate and change behavior as parameters vary.
Missing: Estimation | Show results with:Estimation