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Clusters number

The selection of cluster number, which is generally not known beforehand, represents the primary performance criterion. Optimization of performance therefore requires trial-and-error adjustment of the number of clusters. Once the cluster number is established, the neural network structure is used as a way to determine the linear discriminant for interpretation. In effect, the RBFN makes use of known transformed features space defined in terms of prototypes of similar patterns as a result of applying /c-means clustering. [Pg.62]

The output data can be opened in Excel and sorted according to the cluster number for easier viewing. [Pg.466]

Computer simulation studies by Stillinger and Rahman (1974) suggest that the pentamer is the most likely structure to spontaneously arise in water at many temperatures, followed in frequency by hexamers, and squares. In a review of water, Frank (1970) noted that closed rings of bonds are always more stable than the most stable open chains of the same cluster number, due to the extra energy of the hydrogen bond. Through molecular dynamics studies of many five-molecule clusters, Plummer and Chen (1987) argued that the cyclic pentamer that comprises many hydrate cavities is the only stable five-member cluster above 230 K. [Pg.52]

The micrographs of the different samples are represented on Fig. 21. D mean diameter, n cluster number density, T sample temperature, P02 oxygen pressure, /idjp/Vss amplitude of the dip divided by the steady state production rate of CO2 (see text). The equivalent pressure of the CO beam is 3.4 x 10-7 Torr (from Refs [88,145] and unpublished results). [Pg.277]

The effect of microscopic solvation on the electronically excited states of AA was then studied by using solvated clusters of AA produced in a free jet [85]. The magnitude of the red shift and the broadness in the dispersed fluorescence spectra depended on the solvent polarity and the clustering number. Both the low-lying partial CT state and the ordinary full CT state are involved as the fluorescing state, and their relative contributions depend on the polarity and the number of solvent molecules. [Pg.3171]

Linker Type Number of Sub -Clusters Number of examples tiV (LI) v (L2)... [Pg.669]

This list was assembled using NCBI Entrez SNP, dbSNP BUILD 128. Abbreviations dbSNP rs No, single nucleotide polymorphism database reference cluster number ADRB2, beta-2-adrenergic receptor, surface. [Pg.169]

To model the microstructure and evaluate the thermoelectric properties, we used following simple equivalent electric circuit model shown in Figure 2. We considered the two phase composite as a cluster pararrel network circuit. Setting for each cluster the characteristic single phase physical property, and settle the material composition to the cluster number ratio, we can simulate the total thermopower of the system by Millman s theorem of d.c. circuit. [Pg.516]

Each cluster is characterised by its size s, which is defined as the number of sites belonging to the cluster. A cluster of size s is called an s-cluster. The normalised cluster number ns is defined as the number of s-clusters per lattice site. An equivalent way to define ns(p) is by noting that the probability that an arbitrary lattice site belongs to an s-cluster equals ns-s. [Pg.52]

Figure 3.13 Simulated normalised cluster numbers for a 100 x 100 square lattice. The evolution, with the mean occupation probability p, of the normalized cluster numbers of single and multi-clusters as well as the evolution of the total cluster density are plotted. The simulation of n, follows the analytical expression n, = p(l — p)4. Figure 3.13 Simulated normalised cluster numbers for a 100 x 100 square lattice. The evolution, with the mean occupation probability p, of the normalized cluster numbers of single and multi-clusters as well as the evolution of the total cluster density are plotted. The simulation of n, follows the analytical expression n, = p(l — p)4.
Fig. 9a and 9b show the evaluations after fiizzy-clustering by means of each parameter separately (attribute-wise clustering). As in the clustering by the whole property space, here for each parameter a cluster number of FCL=4 and a TMF of 0.8 is used. The investigation particularly aims at the discovery of temporal changes in the sediment quality and therefore on the identification of so-called chains2 with links consisting of samples from a certain river section. [Pg.134]

Fig. s 10a and 10b shows the Hasse diagrams after single clustering of each attribute (parameter) for AE sediments using a cluster number of FCL=4 and a TMF=0.8. The equivalence classes Kl and K2 in the ecotoxicological evaluation are the only minimal elements, i.e. compared to all samples above their members have the lowest values in all tests. Except K2 all samples are comparable with Kl. The fact that except AE9/94, AE6/94 and AE3/95 all samples above Kl (AE12/92, AE9/93, AE6/95) have been taken at a later date indicates an increasing pollution for AE. Using chemical concentrations for evaluation the temporal trend seems to be contrary. However, both recent samples AE4/01 and AE8/01 are isolated, i.e. not comparable to all other samples. A sensitivity analysis (see e.g. Heininger et al. 2003) shows that the evaluation is most sensitive to the nitrogen content, where omitting this nutrient compensates the isolation of AE4/01 and AE8/01 (see Fig. 11). Moreover, sample AE4/01 is now a minimal element and therefore emphasizes the indication of a decline of the... Fig. s 10a and 10b shows the Hasse diagrams after single clustering of each attribute (parameter) for AE sediments using a cluster number of FCL=4 and a TMF=0.8. The equivalence classes Kl and K2 in the ecotoxicological evaluation are the only minimal elements, i.e. compared to all samples above their members have the lowest values in all tests. Except K2 all samples are comparable with Kl. The fact that except AE9/94, AE6/94 and AE3/95 all samples above Kl (AE12/92, AE9/93, AE6/95) have been taken at a later date indicates an increasing pollution for AE. Using chemical concentrations for evaluation the temporal trend seems to be contrary. However, both recent samples AE4/01 and AE8/01 are isolated, i.e. not comparable to all other samples. A sensitivity analysis (see e.g. Heininger et al. 2003) shows that the evaluation is most sensitive to the nitrogen content, where omitting this nutrient compensates the isolation of AE4/01 and AE8/01 (see Fig. 11). Moreover, sample AE4/01 is now a minimal element and therefore emphasizes the indication of a decline of the...
For many purposes, a calculation of the average nund>er of solvent molecules In a cluster Is useful. We shall denote this as N, the cluster number, and Starkweather (6) has suggested that this Is provided by the expression ... [Pg.445]

However, there should be no clustering for this case, and the cluster number should be one. [Pg.446]

We believe that the difficulty arises from the peculiarity of the definition of the quantity iGn/vx, which was provided above, which specifies the excess solvent molecules In the neighborhood of (but not Including) the central solvent molecule. The cluster number should then be specified as... [Pg.446]

Values of N calculated from Equation (9a) or (9b) exceed those calculated on the basis of Equation (7) by the quantity fi. This difference Is negligible for the cases which will be treated here, but could be appreciable If the method Is applied to the determination of cluster number for dilute aqueous polymer solutions, for example. These corrected equations provide a cluster number of one for an "Ideal" solution. [Pg.446]

Using the partial pressure of water, P, as an adequate approximation to the activity, we see from Equation (1), that for the Isotherm under consideration here, the derivative within the brackets In Equation (9b) Is equal to -k2. The cluster number Is, for this case, given by ... [Pg.446]

Two Independent methods have been utilized to examine the nature of the sorption Isotherm. An analysis of the experimental Isotherm compared to an extrapolation of the Infinite dilution behavior allows calculation of an enhancement number for any of the polymers at any given partial pressure. Calculation of a cluster number based on an Independent method shows very close concordance with the enhancement ntimber, providing strong support for the postulate that associated groups of water molecules sorb In the polymer, and account for the anomolous sorption. [Pg.447]


See other pages where Clusters number is mentioned: [Pg.168]    [Pg.353]    [Pg.10]    [Pg.312]    [Pg.157]    [Pg.116]    [Pg.175]    [Pg.109]    [Pg.405]    [Pg.220]    [Pg.221]    [Pg.231]    [Pg.547]    [Pg.548]    [Pg.72]    [Pg.197]    [Pg.15]    [Pg.15]    [Pg.16]    [Pg.338]    [Pg.675]    [Pg.326]    [Pg.576]    [Pg.25]    [Pg.26]    [Pg.21]    [Pg.120]    [Pg.135]    [Pg.136]    [Pg.25]   
See also in sourсe #XX -- [ Pg.52 ]




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Alkali metal clusters, magic numbers

Carbon clusters, magic numbers

Cluster Reynolds number

Cluster melting magic number

Clusters numbering

Coordination numbers cluster complexes

Gaseous clusters number

Giant magic-number metal clusters

MHg Clusters With High Coordination Numbers

Magic number water cluster

Magic numbers clusters

Magic numbers in clusters

Magic numbers, metal-cluster

Magic numbers, metal-cluster harmonic

Magic numbers, metal-cluster results

Metal cluster compounds coordination numbers

Metallic clusters magic numbers

Normalized cluster number

Number-average cluster size

Numbering polyhedral borane clusters

Odd-even electron numbers and energy level statistics in cluster assemblies

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