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evolving fuzzy classi ers. It will be demonstrated how these approaches can be included into online learning algorithms FLEXFIS resp. FLEXFIS-Class. As FLEXFIS-Class MM uses FLEXFIS internally for incremental training and evolution of multiple rst-order TSK fuzzy models (see Algorithm 2), the implementation of the approaches is mentioned only for the regression case, but also automatically affects the classi cation case. The issue about adaptive local error bars as demonstrated in section 5.4.5 can be applied only to regression models. All their core aspects will be described in quite a conceptual way, such that they are easily applicable to other evolving fuzzy systems approaches as well. The impact of these issues on the modeling process will be visualized in two-dimensional examples, such that the reader should get a clear impression of what is really improved, and so on. An extensive study on higherdimensional models will be done in section 5.5.

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Similar to the ground symbol is the power symbol. Figure B-4 shows a few of the most common symbols for power. Sometimes the explicit voltage being used is shown (+5V), but usually the general label for positive supply voltage is used. Vcc and Vdd both mean positive supply voltage.

Figure 1-8

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The information eld follows the control eld (Figure 10.25) and precedes the frame check sequence (FCS) eld. The I eld is present only in information (I) frames and in some unnumbered (U) frames. The I eld may contain any number of bits in any code, related to character structure or not. Its length is not speci ed in the standard (ISO 3309, Ref. 25). Speci c system implementations, however, usually place an upper limit on I eld size. Some versions require that the I eld contain an integral number of octets. Frame check sequence (FCS). Each frame includes an FCS eld. This eld immediately follows the I eld, or the C eld if there is no I eld, and precedes the closing ag (F). The FCS eld detects errors due to transmission. The FCS eld contains 16 bits, which are the result of a mathematical computation on the digital value of all bits excluding the inserted zeros (zero insertion) in the frame and including the address, control, and information elds.

Akaike, H (1973) Information theory and an extension of the maximum likelihood principle In B N Petrov & F Csaki (Eds), 2nd International Symposium on Information Theory (pp 267 281) Budapest, Hungary: Akademiai Kiado Andersen, E B (1973) A goodness-of-fit test for the Rasch model Psychometrika, 38, 123 140 Andrich, D (1978) A rating formulation for ordered response categories Psychometrika, 43, 561 573 Andrich, D (1982) An extension of the Rasch model for ratings providing both location and dispersion parameters Psychometrika, 47, 105 113 Andrich, D, Lynne, A, & Sheridan, B (1990) ASCORE: A Fortran IV program for analyzing psychometric responses according to a Rasch binomial logistic model [Computer software] Murdoch, Western Australia: Murdoch University, School of Education Andrich, D, Sheridan, B, & Luo, G (2004) RUMM2020: Rasch Unidimensional Measurement Models (Version 40 for Windows) [Computer software] Perth, Australia: RUMM Laboratory Birnbaum, A (1968).

Figure 16.19 Fresnel zone for propagation between transmitter and receiver in clear space between building furnishings and ceiling xtures. (From Ref. 18, Figure 35. Reprinted with permission.)

Some latent trait models and their use in inferring an examinee s ability In F M Lord & M R Novick (Eds), Statistical theories of mental test scores Reading, MA: Addison-Wesley Borg, G (1970) Perceived exertion as an indicator of somatic stress Scandinavian Journal of Rehabilitation (2/3), 92 98 B s, K, & Mechling, H (1983) Dimensionen sportmotorischer Leistungen [Dimensions of motor performance in sports] Schorndorf, Baden-W rttemberg, Germany: Hofmann B s, K, & Mechling, H (1985) Bilder-Angst-Test f r Bewegungssituationen (BAT) [Picture anxiety test for movement situations] G ttingen, Saxony, Germany: Hogrefe B s, K, & Mechling, H (1986) Bewegungskoordinationstest (BKT) [Movement coordination test] G ttingen, Saxon, Germany: Hogrefe B s, K, & Roth, K (1978) M glichkeiten der Anwendung probabilistischer Modelle im Bereich sportmotorischer und sportpsychologischer Forschung [Applications of probabilistic models in motor research and sport psychology] Sportwissenschaft, 8, 407 421.

B s, K, & Wydra, G (1984) Ein Koordinationstest f r die Praxis der Therapiekontrolle [A coordination test for therapy control practice] Zeitschrift f r Krankengymnastik, 36, 777 798 Bozdogan, H (1987) Model selection and Akaike s information criterion (AIC): The general theory and its analytical extensions Psychometrika, 52, 345 370..

The alternative to a desktop Web server is an enterprise Web server. Many varieties of these exist: O Reilly Web Site Pro, iPlanet Web Server Enterprise Edition, Netscape Enterprise Server, Microsoft Internet Information Server, Apache, and many others. Generally, they run on UNIX or Windows NT, although they can also run on Macs. An enterprise Web server can be within your own organization or with your Internet service provider. In either case, there is a systems administrator who should be able to answer all your questions. An enterprise Web server is usually a robust, turnkey environment for your Web site. It is directly connected to the Internet (as opposed to being connected by a modem). Usually there are backup procedures and an uninterruptible power supply (UPS) to prevent downtime due to power outages.

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