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Noise random

A quite different way to reduce overfitting is to use random noise. A random signal is added to each data point as it is presented to the network, so that a data pattern  [Pg.42]


If the magnitudes of the dissipative force, random noise, or the time step are too large, the modified velocity Verlet algorithm will not correctly integrate the equations of motion and thus give incorrect results. The values that are valid depend on the particle sizes being used. A system of reduced units can be defined in which these limits remain constant. [Pg.274]

Averaging is a teehnique to improve the S/N ratio. Two or more sueeessive speetra made up of both periodie and random (noise) signals are added together and then averaged. This eombination results in a speetrum with a periodie eomponent that is mueh the same as when viewed in the instantaneous signals but with random peaks of mueh less amplitude. This result oeeurs beeause the period peak stays at a fixed frequeney in the speetrum, while the noise peak is fluetuating in frequeney over the speetrum. [Pg.569]

E is an error matrix taking errors of measurement (e. g. random noise) into consideration. The term component describes such chemical or physical states the spectra of which cannot be generated by a linear combination of the other components. Thus, components can be elements, chemical compounds - stoichiometric or non-stoichiometric - or even states induced by physical processes, provided that the spectra differ significantly, e. g. in line shapes or line shifts. [Pg.20]

FIGURE 9.61 Different kinds of sounds (a) pure tone, (fa) periodic sound, (c) random noise, (d) effects overlapping principle. [Pg.792]

Turbulent or unbalanced media flow (i.e., aerodynamic or hydraulic instability) does not have the same quadratic impacts on the vibration profile as that of load change, but it increases the overall vibration energy. This generates a unique profile that can be used to quantify the level of instability present in the machine. The profile generated by unbalanced flow is visible at the vane or blade-pass frequency of the rotating element. In addition, the profile shows a marked increase in the random noise generated by the flow of gas or liquid through the machine. [Pg.670]

We will now add random noise to each concentration value in Cl through C5. The noise will follow a gaussian distribution with a mean of 0 and a standard deviation of. 02 concentration units. This represents an average relative noise level of approximately 5% of the mean concentration values — a level typically encountered when working with industrial samples. Figure 15 contains multivariate plots of the noise-free and the noisy concentration values for Cl through C5. We will not make any use of the noise-free concentrations since we never have these when working with actual data. [Pg.46]

To better understand this, let s create a set of data that only contains random noise. Let s create 100 spectra of 10 wavelengths each. The absorbance value at each wavelength will be a random number selected from a gaussian distribution with a mean of 0 and a standard deviation of 1. In other words, our spectra will consist of pure, normally distributed noise. Figure SO contains plots of some of these spectra, It is difficult to draw a plot that shows each spectrum as a point in a 100-dimensional space, but we can plot the spectra in a 3-dimensional space using the absorbances at the first 3 wavelengths. That plot is shown in Figure 51. [Pg.104]

Figure 84 also contains a plot of the differences between the original and the regenerated spectrum. This is identical to the residual spectrum. The residuals of this spectrum look comfortably like pure random noise. [Pg.150]

Figure 2.62 The31P NMR spectrum of mer-RhCljfPMej, with random noise decoupling of the protons. (Reproduced with permission from J. Chem. Soc., Dalton Trans., 1973, 704. Figure 2.62 The31P NMR spectrum of mer-RhCljfPMej, with random noise decoupling of the protons. (Reproduced with permission from J. Chem. Soc., Dalton Trans., 1973, 704.
Unlike (2.19), in the present case the angular velocity vector [Pg.273]

In this relation a(r, t) is the experimentally observed signal, s represents random noise, axi r) represents the time invariant systematic noise and aRi(f) the radial invariant systematic noise Schuck [42] and Dam and Schuck [43] describe how this systematic noise is ehminated. x is the normahsed concentration at r and t for a given sedimenting species of sedimentation coefficient 5 and translational diffusion coefficient D it is normalised to the initial loading concentration so it is dimensionless. [Pg.223]

Some of the VisualBasic programs that come with the book offer approaches to problem-solving or visualization that may not be found elsewhere. Many VB programs and Excel sheets were crafted with a didactical twist to make the influence of random noise and the bias due to the occasional error apparent. Details are found in Section 5.3. [Pg.4]

Horlick, G., Reduction of Quantization Effects by Time Averaging with Added Random Noise, Anal. Chem. 47, 1975, 352-354. [Pg.405]

The synthetic data have been obtained by adding random noise with standard deviation of about 0.4 )0.g 1 to the theoretical plasma concentrations. As can be seen, the agreement between the estimated and the computed values is fair. Estimates tend to deteriorate rapidly, however, with increasing experimental error. This phenomenon is intrinsic to compartmental models, the solution of which always involves exponential functions. [Pg.460]

A random noise with standard deviation of 0.4 pg 1 has been added to the theoretical values in order to produce a realistic example. The specifications of the model are in part the same as those used for the one-compartment models which have been discussed above. The major distinction between this model and the... [Pg.485]

We reconsider the data used previously in Section 39.1.2 in the discussion of the two-compartment system for extravascular administration (e.g. oral, subcutaneous, intravascular). The data are truncated at 120 minutes in order to obtain a realistic case. It is recalled that these data have been synthesized from a theoretical model and that random noise with a standard deviation of about 0.4 pg T has been superimposed. [Pg.498]

For fun, try one more calculation with the addition of random noise ... [Pg.229]


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