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The HTML viewer control provides limited support to displaying images referenced in HTML formatted text. The control sends a notification to its parent window when it encounters an IMG reference in HTML text, but makes no attempt to render the image. As with moving among hyperlinks, this is the responsibility of the application. An example of including an inline image in an HTML file is: <IMG SRC="image.gif"> When an HTML viewer control encounters such a tag, for example while responding to a DTM_ADDTEXT message, it alerts its parent that an image needs to be loaded by sending an NM_INLINE_IMAGE notification. As with the NM_HOTSPOT notification, the control sends an NM_HTMLVIEW structure in the lParam of the WM_NOTIFY message. The szTarget member of this structure contains the text following the SRC parameter in the HTML text. In the example above, szTarget would contain the string image.gif. In the case of NM_INLINE_IMAGE notifications, the szData member of the NM_HTMLVIEW structure is not used. But the dwCookie value is. It contains a value that must be passed to the DTM_SETIMAGE message described a little later. The basic idea to take away from this discussion is that the HTML viewer control only notifies its parent window that a reference to an image has been detected. It is up to the application to load and display the image. But the application gets a little help in this from the DTM_SETIMAGE message.

Support of a wide variety of voice compression schemes (e.g., G.711, G.729, G.723) with and/or without silence suppression Support of uni ed messaging including real-time and store-and-forward fax transmission service Support of instant messaging, meet-me/follow-me conferencing (audio and video), and so on

This means that even larger (faster-computed) values of AVmin0 could be used with the same success for the similarity analysis A direct comparison between algorithms Grow1 and Grow2 is shown in Figure 119 for the same granulation quality AVmin0 12 Note that the Grow2 algorithm reaches the same (predetermined) granulation quality AVmin0 by using fewer neurons; that is, it produces a more economical solution to the granulation problem The general reason for such a result is that the cumulative error (1110) gives a more precise characteristic of the model than the mean distance (117)..

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The nal point in the itemization addresses the problem of robustness as outlined in section 51 ( rst itemization point) In fact, correction terms are integrated in the learning procedure, which balance out the nonoptimal situation, appearing during the training process as clusters; hence, rules are shifted and moved Therefore, the recursive weighed least-squares approach, which would guide the parameter solution to optimality in case of xed premise parts, is disturbed The correction terms cannot be calculated in an incremental fashion, but it can be shown that they are forced to a decreasing sequence, leading to a near-optimal solution (for details see [41]) This is achieved on the basis that clusters are forced to evolve into a balanced state.

message. These actions contradict the goal of SOAP to be a cross-platform application messaging protocol. Some interoperability issues have been addressed in the WS-I Basic Pro le 1.0, a document that pro les best practices for SOAP, WSDL, and UDDI. Web services speci cations based upon SOAP 1.1 extensibility have been released in droves. Each of these de nes a set of headers their syntax and processing semantics. There are headers speci ed for security, transactions, reliability, business processing, asynchronous callbacks, message routing, and other generic requirements. Some of these speci cations have been submitted to one of the Web services standards bodies, and more speci cations assuredly will be. Once standardized, the resulting speci cations will broaden the minimal SOAP protocol to support features required for some distributed applications. A system architect will be able to map the application requirements to the proper standards. Hence, SOAP extensibility enables system design exibility.

The balanced state is guaranteed by controlling the tradeoff between plasticity (ability to adapt to new information) and stability (ability to converge to an optimal solution) with a vigilance parameter: If, for instance, two different main states occur during the online process, two different clusters will evolve automatically in the eVQ process; this will prevent strong uctuating movements of one cluster, as the cluster centers and surfaces are always adapted within local areas Figure 51 shows an empirical justi cation of this point by the dependency of model qualities (maximum quality 1) on the number of data samples each block contains loaded into FLEXFIS.

This is done for a practical application example, where 32 different models are trained based on (noisy) measurement data from engine test benches and their average model quality is measured in terms of the average r-squaredadjusted measure [23], punishing more complex models by dividing r-squared measures with the number of model parameters The maximum of 960 data samples denotes the whole batch of data collected, and FLEXFIS applied on it in batch mode (complete antecedent learning rst and complete consequent estimation afterward).

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