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The processed ERP was then fitted with the waveform generated by Equation (3) according to the least mean square principle.
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To test this, we fitted a damped oscillator function to the grand average of STN stimulation at 5 Hz according to the least mean squares principle.
In this article, minimum mean square error (MMSE) principle is adopted to estimate the new channel switch point tsp1.
The mean square error minimization principle is utilized in order to estimate the heat transfer coefficient of food to be heated under optimal condition.
Quite recently, (L^{2}) (mean square) strong averaging principle for multivalued stochastic differential equations with Brownian motion was established by Xu and Liu [14].
Then, based on the minimum mean square error (MMSE) principle, a new linear optimal filter is designed such that, for the finite-step autocorrelated process noises, random one-step sensor delay and missing measurements, the estimation error is minimized.
By estimating the PDF of the received signal, the nonlinear minimum mean square error (NMMSE) estimator principle is invoked to estimate the fading parameter.
This paper analyzes the effect of the mean-square error principle on the optimization process using a Special Case of Hopfield Neural Network (SCHNN).
Golec and Ladde [8], Veretennikov [9], Khasminskii and Yin [10], Givon et al. [11] studied the averaging principle to stochastic differential systems in the sense of mean square and probability.
Its principle consists in finding the best parameters of a function which minimize the mean square error between the curve we try to approximate and its estimation.
By means of the Lyapunov method and the comparison principle for impulsive systems, several sufficient criteria are obtained to guarantee the global exponential synchronization in mean square of the dynamical network.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com