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where v denotes the centre of a grid; zi is the current data point (for the purpose of fuzzy system identi cation z is considered to be an input/output pair, z [xT,yT]T; s is the radius of the cluster; and K is the number of data points. This concept borrows from the Parzen windows (Hastie et al., 2001) and Gaussian kernel-based estimators, KDE (Elgammal et al., 2002). It is taken further in the subtractive clustering (Chiu, 1994) where the need of the grid is replaced by using each data point as a prototype of a cluster focal point. An alternative clustering method that was also used for data space partitioning aiming at fuzzy systems design is participatory learning (Silva et al., 2005). All of the above methods, however, rely on the use of thresholds to decide whether a new cluster should be formed. eClustering, proposed in Angelov (2004), is a principally different approach in that it applies to

To construct an initial eigenspace, 5% of training samples are applied to the conventional PCA. The remaining 95% of training samples are sequentially provided as shown in Figure 7.1. Although the proposed Chunk IPCA algorithm can work even if the chunk size is changed at every learning stage, we assume that the size is xed with L during the learning. In the rst experiment, the chunk size L is set to 10; in the other experiments, the chunk size is xed with one of the following values: L 1, 5, 10, 20, 50, or 100. A chunk of training samples is randomly selected and it has no overlap with other chunks; hence, all the training samples are presented only once to learn. Hence, the number of learning stages S is given by S b0:95N=Lc, where N is the total number of training samples. Note that the number of training samples in the last chunk can be less than L, and it is given by N Lb0:95N=Lc. Since the performance of incremental learning generally depends on the sequence of training samples, 10 trials with different sequences of training samples are conducted to evaluate the average performance.

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Clicking on the hyperlink opens a new window with a new file (see Figure 50-2). As you can see, this window looks different from a normal browser window. This happens with the window.open method. Table 50-1 lists one key property of this method file name. This identifies the name of a file or URL to open into the new window. Without this property, the browser would open a blank window without content.

1 = H (X ) P(xi ) log2 P(xi ) I (X, Y ) = H (X ) H (X/Y )

1.1. Introduction PC12 pheochromocytoma cells are cloned catecholaminergic cells derived from a spontaneous tumor (pheochromocytoma) of adrenal medullary chromaf n cells isolated from New England Deaconess rats [Greene and Tischler, 1976; Tischler and Greene, 1978]. Embryologically, chromaf n cells are derived from the sympathoadrenal (SA) lineage in the neural crest. In the rat, during migration out

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Every control has a number of properties that determine how the control looks and behaves. You can change a control s properties: At design time when you re developing the UserForm. You use the Properties window for this. During runtime when the UserForm is being displayed for the user. You use VBA instructions to change a control s properties at runtime.