E-Book, Englisch, Band 17, 288 Seiten, eBook
Angstenberger Dynamic Fuzzy Pattern Recognition with Applications to Finance and Engineering
Erscheinungsjahr 2013
ISBN: 978-94-017-1312-2
Verlag: Springer Netherland
Format: PDF
Kopierschutz: 1 - PDF Watermark
E-Book, Englisch, Band 17, 288 Seiten, eBook
Reihe: International Series in Intelligent Technologies
ISBN: 978-94-017-1312-2
Verlag: Springer Netherland
Format: PDF
Kopierschutz: 1 - PDF Watermark
Zielgruppe
Research
Autoren/Hrsg.
Weitere Infos & Material
1 Introduction.- 2 General Framework of Dynamic Pattern Recognition.- 3 Stages of the Dynamic Pattern Recognition Process.- 4 Dynamic Fuzzy Classifier Design with Point-Prototype Based Clustering Algorithms.- 5 Similarity Concepts for Dynamic Objects in Pattern Recognition.- 6 Applications of Dynamic Pattern Recognition Methods.- 7 Conclusions.- References.- Unsupervised Optimal Fuzzy Clustering Algorithm of Gath and Geva.- Description of Implemented Software.