Titlebook: Dynamic Fuzzy Pattern Recognition with Applications to Finance and Engineering; Larisa Angstenberger Book 2001 Springer Science+Business M

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1382-3434 very powerful in pattern recognition andconsiders the entire process of dynamic pattern recognition. This booksets a general framework for Dynamic Pattern Recognition, describingin detail the monitoring process using fuzzy tools and the adaptationprocess in which the classifiers have to be adapted,

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https://doi.org/10.1007/978-3-540-47857-7tering criterion. The notion of similarity depends on the mathematical properties of the data set (e.g. mutual distance, angle, curvature, symmetry, connectivity etc.) and on the semantic goal of a specific application.

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Similarity Concepts for Dynamic Objects in Pattern Recognition,tering criterion. The notion of similarity depends on the mathematical properties of the data set (e.g. mutual distance, angle, curvature, symmetry, connectivity etc.) and on the semantic goal of a specific application.

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