思乡病
发表于 2025-3-25 04:36:12
Eyal Kolman,Michael Margaliot- und der kanadischen Romanow-Kommission zwei Gremien analysiert, die in jüngster Zeit gesundheitspolitische Beratungsleistungen erbracht haben. Es zeigt sich, dass die jeweilige Politikberatungstradition und der Grad der Einbeziehung der Öffentlichkeit einen großen Einfluss auf die Ausgestaltung und die Erfo978-3-8350-6048-7978-3-8350-9144-3
laparoscopy
发表于 2025-3-25 11:15:10
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弯腰
发表于 2025-3-25 12:56:45
Eyal Kolman,Michael Margaliotn in Abhängigkeit des medizinischen Wissens über die Biologie des menschlichen Körpers und die diagnostischen und therapeutischen Behandlungsmöglichkeiten kodifiziert. Luhmann (1983) sprach daher zu Anfang der 80er Jahre noch ausdrücklich von einem “Krankheitsbehandlungssystem”. Im Verlauf der 80er
自爱
发表于 2025-3-25 17:46:23
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Myosin
发表于 2025-3-25 20:54:02
Introduction,ms of connectionism and symbolism. This is followed by a very brief review of artificial neural networks (ANNs) and fuzzy rule-based systems (FRBs). This sets the stage for the presentation of the main tool developed in this work, the . (FARB). This is an FRB with a special form. This form guarantee
Trabeculoplasty
发表于 2025-3-26 03:10:51
,The FARB–ANN Equivalence,t of a specific type of ANN. This provides a . representation of the ANN functioning. As a corollary, we obtain results that can be used for KE from, and KBD of, ANNs. Simple examples are used to demonstrate the main ideas. The remainder of this work is devoted to extending this approach to larger-s
LUDE
发表于 2025-3-26 04:55:29
Rule Simplification,equivalence for knowledge extraction from large-scale networks must include a systematic approach for rule reduction and simplification..Simplification procedures usually lead to a more interpretable rule-base with the cost of a degradation in the FRB performance. This tradeoff between complexity an
glacial
发表于 2025-3-26 11:23:57
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赦免
发表于 2025-3-26 12:47:39
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GLUT
发表于 2025-3-26 18:23:26
Conclusions and Future Research,here algorithmic approaches are either unknown or difficult to implement. A major drawback, however, is that the knowledge learned by the network is represented in an exceedingly opaque form, namely, as a list of numerical coefficients. This black-box character of ANNs hinders the possibility of the