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The data in Fig. 4 highlights the differences in the viscoelastic behaviour of the three specimens.
For the experimental data fits best with the normal distribution.
The lognormal and Weibull distributions are also close to the experimental data.
For this case, normal distribution gives the best fit with the experimental data at and .
For, the experimental data fits best to lognormal distribution.

Prediction focused on identifying SS, IM, and AM (amorphous phases) from the data in [25].
SVM is adept at working with linear and non-linear data and supports different kernel functions [27].
Data collection.
Data scaling, soft computing algorithms and parameter optimization.
To prevent overfitting, where an algorithm performs very well on the training data but exhibits poor generalization ability on unseen data, we deployed the n-fold cross-validation (CV) technique [12,31].

Strain readings were obtained at 10Hz over 30 seconds using a data logger.
Strain readings were obtained at 10Hz over 30s via a data logger (Spectra- DAS, Intercole systems) the output being analysed on Spectra- DAS software.
Unexpected reductions in wall stress in the high setting are presumably due to the slow sampling frequency of the data logger and asynchrony with the pulse.
In addition endovascular stent- grafts may be deployed into the model and the reduction in peak wall stress due to EVAR assessed.

Once the optic nerve has been impaired, visual data is not passed to the brain and permanently visual impairment is caused.
Data enters inputs & moves through the hidden layer, where real information is processed and tests of output layer are visible.
The resulting representation will subsequently be used on a variety of techniques for pattern recognition and classification. [4] Features extraction is a procedure of which resource volume from a wide range of data starting by initial data set & generating insightful derived characteristics.
It eliminates uncertain data & reduces the size of data to improve device performance.
Extracted functions are given as classification data from ANFIS and SVM.

(b) PL intensity I536 of clusters (band peaked at 536 nm) (curve 1) and the number of the clusters x2 estimated from SQUID data (curve 2) as a function of the deformation ε.
Solid lines 2-5 are approximations of experimental data by modified Brillouin function for separated dipoles and dimers.
The sample was placed in the magnetometer during all these procedures and its causal displacements in the magnetometer could not distort experimental data.
Average spin approximation allows fitting of the experimental data exactly (Fig. 10).
Thus, exposure of crystals in MF causes reduction of spin of magnetosensitive clusters.

The data analysis was conducted by iterative convolution of the luminescence decay profile with the instrument response function using the software package provided by PTI Instruments.
Electronic absorption, emission and thermal stability data of charged Ir(III) cyclometallates.
Lifetime (ms) data obtained by 337 nm of a nitrogen laser in CH2Cl2 are shown in parentheses, sh means shoulder peak.
[d] 5% weight-reduction temperatures (ΔT5%), collected at a heating rate of 5 oC/min under N2.
The lifetime data in the nanosecond time scale demonstrate the phosphorescence nature of our iridium(III) complexes.

Analysis of data and information found in product files, which normally comprise all the information and paperwork created during tooling design, was also used in many cases to investigate whether patterns could be found between existing design data.
In the examples of compression analysis an investigation was undertaken to assess existing data for the compression values used in previous designs [9].
The tolerance data itself was also found to exist in varying formats from one Designer to the next.
The resulting standard was introduced as a macro that uses tolerance graphs of the collated data and one standard method of calculation.
Mar; Knowledge elicitations and data mining: Fusing human and industrial plant information.

This article attempts to conduct empirical research on this issue by using spatial panel data.
In addition, the studies are mostly using time series, the ordinary panel data, the least square method, and there is relatively little literature by using the spatial panel data to research.
The data contains 30 provinces in Chinese mainland except Tibet.
Meanwhile, in order to ensure comparability of data, the currency data has been deflated according to price, and the base period is 1978.
The conclusion is mainly as follows: (1) the spatial panel data model which compares with the ordinary panel data model has the better explanation to it.

The kernel method is demonstrated to be able to extract the complicated nonlinear structures embedded on the data set.
Data used in the experiment is collected from all over China during 2005 to 2009.
So, the training data is set with data of graduate employment and questionnaire results collected from those four areas above.
Cao: Intelligent Data Analysis(2001), p.191
Ping: Kernel Independent Component Analysis for Gene Expression Data Clustering. 6th International Conference, ICA 2006, Charleston, SC, USA(2006)

Data Analysis.
Data reduction and analysis was carried out by using LAMP (Large Array Manipulation Program) software, an in-house data reduction and fitting programme developed at ILL [8].
A Gaussian fitting routine in-built within LAMP was used to fit the raw data and determine the peak position precisely.
Fig. 4 shows the stress contour map obtained from the through-thickness data between the bead centre and end.
The normal strain measured at ENGIN-X (Rietveld data) is more compressive by about 350 µstrain as compared to the SALSA measurement ({311} data).