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Preparing input data

V Provide an interactive computer system to prepare input data for plotting ajui analv/m j the fault trees. [Pg.121]

Reference [1] also discusses the analysis of uncertainties and provides a practical example for preparing input data and documentation for the analysis. The annexes to Ref. [1] provide further examples of practical applications and describe the main steps in accident analysis. [Pg.1]

In preparing input data for analysis, allowance should be made not only for the nominal values of nuclear power plant parameters but also for their deviations within the process tolerance range. It is also necessary to take into account possible deviations in the boundary conditions, such as system set points and characteristics. [Pg.37]

Guidance in Preparing Input Data. The user manual of the model or the help facility (in case of a computer implementation) should give guidance in the preparation of input data. Aspects that can be addressed are ... [Pg.438]

Bulgaria has an extensive QA programme related to accident analysis covering among others plant data preparation, input data preparation, cross checking procedures, input check preparation, etc. [Pg.257]

Each code can only run separately, therefore users have to prepare input data for GRACE manually from the output data of THERMOS and PEACO-COLLIS. This needs a professional knowledge of the users... [Pg.134]

Combination of THERMOS + GRACE + DOT into a unique code named HASOB. In this version of HASOB, we still assume no spectral correction in microscopic cross-sections for isotopes concentration calculation, fhe code HASOB is developed in such a way that users can prepare input data for neutron thermalization and fast spectral treatment in the same way just like prepare input data for THERMOS and GRACE codes as individual. This work is in progress to investigate if the absence of library of some isotopes born in U-235 and U-238 chains can be negligible in low burnup calculation. [Pg.135]

Table 7.1 shows the structure of the input data file that is prepared according to the format described in the previous section. [Pg.218]

READ INPUT DATA FROM MAIN DATA FILE AND PREPARE ARRAYS FOP SOLUTION PROCESS... [Pg.223]

Figure 20. Cycling behavior of Sn+SnSb powder (analytical composition "SnassSb(U2particle size <0,2pm) and Sn powder (particle size Figure 20. Cycling behavior of Sn+SnSb powder (analytical composition "SnassSb(U2particle size <0,2pm) and Sn powder (particle size <lpin) in I mol L 1 LiC104 /propylene carbonate as electrolyte. Constant time charge with a charge input of 1.6 Li/M ( 360 Ah kg 1) potential-controlled discharge with a cut-off of 1.6 V vs, Li/Li, ic = id =0.3. in A cm"2 Prepared with data from Ref. [3711.
Each time one of these changes is made, there is a chance for an error to occur. So after each change the program must be checked to see that it responds correctly under as many varied situations as possible. Most programs have special input card decks, or tapes, that have been prepared to perform these tests. These are merely a set of specific input data for which the responses have been hand-calculated. If the computer and hand-calculated results agree, the program is considered correct. Of course, when the data bank is altered the answers are altered. This means a corrected set of hand calculations must be made whenever the data bank is changed. [Pg.417]

The layered structure of feedforward neural networks provides a flexible tool that allows us to relate input data to some desired output, but what if there is no output Can a neural network still do something useful Rather curiously, the answer is yes, if we are prepared to employ a different kind of neural network. Numerous classification tasks exist in science, in which... [Pg.380]

Major problems facing an investigator who wants to prepare data for analysis or neural network modeling concern what input data features are to be used and how the information will be encoded before presentation to the model. Another issue to be faced concerns discovery of biological rules and features from the data, after analysis or modeling-e.g., what do the results mean Interpretation of weights after training, for example, is a particularly difficult problem. [Pg.143]

In experimental research, each studied case is generally characterized by the measurement of x (x values) and y (y values). Each chain of x and each chain of y represents a statistical selection because these chains must be extracted from a very large number of possibilities (tvhich can be defined as populations). However, for simplification purposes in the example above (Table 5.2), we have limited the input and output variables to only 5 selections. To begin the analysis, the researcher has to answer to this first question what values must be used for x (and corresponding y) when we start analysing of the identification of the coefficients by a regression function Because the normal equation system (5.9) requires the same number of x and y values, we can observe that the data from Table 5.2 cannot be used as presented for this purpose. To prepare these data for the mentioned scope, we observe that, for each proposed x value (x = 13.5 g/1, x=20 g/1, x = 27 g/1, X = 34 g/1, X = 41 g/1), several measurements are available these values can be summed into one by means of the corresponding mean values. So, for each type of X data, we use a mean value, where, for example, i = 5 for the first case (proposed X = 13.5 g/1), i = 3 for the third case, etc. The same procedure will be applied for y where, for example, i = 4 for the first case, i = 6 for the second case, etc. [Pg.334]

The X, y, z coordinates are unchanged, and the last two numbers 1.00 and 81.36 have not been altered. They will be overwritten by GRIN when it prepares the input data. [Pg.15]

The preparation of the input data is also important. Experimental data taken from the literature need to be carefully checked so as to minimize differences in the experimental conditions. Special caution is required when the experimental data is derived from different kinds of cells. [Pg.587]

The first test usually performed with a docking tool is the reproduction of complexes with known structures. The results achieved with docking algorithms are quite difficult to compare for several reasons. First, there is no unique benchmark set and every method is published with a small set of test results only. Second, different levels of a priori knowledge are used in the preparation of the input data and in the calculation. Examples for a priori knowledge are the definition of the active site, the placement of polar... [Pg.354]

EQ3/6 (Wolery, 1992). EQ3 is a speciation program, which can be used alone or to prepare input for eq6, a reaction path program. A kinetics option is also available. The program has a comprehensive database, primarily through the effort of Dr James Johnson. Unlike many other databases, the sources of thermodynamic data are documented in this database. [Pg.76]

To make an atomic structure calculation, using the program hs.exe, it is necessary to prepare a data input file which is read at the start of the program. For helium, for example, the input file has the following form... [Pg.12]

There is much more potential in the material on the CD. All worksheet cells, bordered in black, are unprotected. Thus, you can input different values for Slater exponents, Gaussian basis sets, bond lengths, scaling factors and other parameters involved in the calculations described. All the results of such changes in input data can be saved for later use or application. This versatility should make the material covered interesting to those preparing courses in the theory covered in the book. [Pg.238]

Factor Analysis. Several choices had to be made in preparing the data for factor analysis as well as in choosing criteria for selecting the number of factors needed to describe the data space (e.g. eigenvalue > 1.0, ratio adjacent eigenvalues > 2.0, etc.) and the number of factor scores to be used as input into the canonical correlation analysis. These choices may have affected subsequent interpretation of the multivariate spaces and evaluation of the chemometric analysis methods. Table II shows the types of spectral data input into factor analyses of the first 13 subfractions. [Pg.193]

In the late 1980s ready-to-run quantum chemistry programs appeared. MICROMOL, a package to do ab initio calculations on PCs, was one of the first.2 -27 Later versions of this program included an interface to assist the user in preparing an input data set. Another quantum chemistry area in which easy-to-use software packages are now available is the area of Hiickel molecular orbital (MO) calculations on organic molecules. . ... [Pg.153]


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Data preparation

Input data

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