Download Advances in Neural Information Processing Systems 2 by David S. Touretzky (Editor) PDF

By David S. Touretzky (Editor)

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Changes in the cluster structure correspond to changes of a state, or behaviour, of a system under study and will also be referred to as structural changes. This term comes from econometrics where it is used 26 General Framework ofDynamic Pattern Recognition to describe changes in a regression model either at an unknown time point or at a possible change point. Due to the arrival of new objects and the discarding of old data being irrelevant, the following changes in the dynamic cluster structure can appear [Mann, 1983]: 1.

Finally, the characteristics of a special class of fuzzy pattern recognition methods will be discussed along with the advantages that they afford dynamic pattern recognition. 1 The process of pattern recognition Pattern recognition is one of the research areas that tries to explore mathematical and technical aspects of perception - a human's ability to receive, evaluate, and interpret the information as regards hislher environment - and to support humans in carrying out this task automatically.

Pattern recognition works with the first semantic, which can be formulated as follows: - Consider a fuzzy set A, defmed on the universe of discourse X, and the degree of membership u A(x) of an element x in the fuzzy set A. Then U A(x) is the degree of proximity of x to prototype elements of A and is interpreted as a degree of similarity. This view, besides a meaning of the semantic, shows distinctions between a membership grade and different interpretations of a probability value. Consider a pattern x and a class A.

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