Sentence examples for average squared errors from inspiring English sources
The optimal SAM combining model combined two BRANN member models and improved upon them in terms of average squared errors by 14.6% and 18.1% respectively.
The average squared errors are 0.3029, 0.0254, and 0.0087 for BP, LASSO, and WBSR, respectively, which are obtained according to Equation (29) E avr = 1 N ∑ i = 1 N ( r i − r ̂ i ) 2 (29).
Simulation studies demonstrate that our LPM is competitive with alternatives, in the sense of yielding both smaller sample mean average squared error and better visual performance.
Aside from some of the small high frequency structures, the estimated MSE is appears similar to the average squared error.
(a) Noisy image, (b) non-aggregated CAWF image estimate, (c) CAWF estimate of MSE, (hat {J}_{i}), and (d) average squared error over 100 noise realizations.
The learning rate and momentum for network training were set respectively to 0.25 and 0.9 and the models were run until a minimum average squared error < 0.063 was obtained.
Root mean squared (RMS) errors were calculated by subtracting the predicted values from the corresponding observed values, squaring them, and then taking the square root of the averaged squared errors.
We show that averaged squared error (ASE) is a good approximation of MISE; however, this is not the case for a cross-validation criterion.
In this study, the Gaussian Kernel [32] will be used for the estimation of link quality results and a smoothing parameter h, usually referred to as bandwidth, will be chosen using averaged squared error (ASE) in order to prevent under or over fitted estimations and guarantee the quality of the estimation.
The accuracy of 7-day risk level forecasting yielded by the proposed model ranges from 0.87 to 0.97, and the average root-mean squared errors of forecasting the population dynamics fall in the interval between 0.31 and 4.95 per day per farm.
Mean Squared Error (MSE – Equation 1) is used to report the average of the squared errors.
