Neuro-Fuzzy Clustering of Distorted Data Using Cat Swarm Optimization - Softcover

Shafronenko, Alina; Bodyanskiy, Yevgeniy; Rudenko, Diana

Softcover

ISBN 10: 6200506426 ISBN 13: 9786200506429

Verlag: LAP LAMBERT Academic Publishing, 2020

Inhaltsangabe

Nowadays, computational intelligence technologies often and quite successfully are used in solving complex problems that, as a rule, do not have an analytical solution. Today, these technologies and especially artificial neural networks (ANN) are widely used to solve various problems of signal processing, optimization, optimal and adaptive control, pattern recognition, identification, time- series prediction, etc. At the same time, the described approaches to data recovery are workable only in cases when the initial data are set a priori, and the “object-property” table or time series has a fixed number of observations, i.e. do not change during processing. This book is devoted to the development and study of methods for dynamic data mining, containing missing and distorted observations. The main feature of data mining methods is to establish the presence and nature of hidden patterns in data, whereas traditional methods mainly deal with parametric evaluation of already established patterns.

Über diesen Titel

Über die Autorin bzw. den Autor

Yevgeniy Bodyanskiy, Professor, Doctor of ScienceAlina Shafronenko, Doctor of Philosophy Diana Rudenko, Doctor of Philosophy Kharkiv National University of Radio Electronics, Kharkiv, Ukraine

Details zur Ausgabe

• Verlag: LAP LAMBERT Academic Publishing
• Erscheinungsdatum: 2020
• Sprache: Englisch
• ISBN 10: 6200506426
• ISBN 13: 9786200506429
• Einband: Taschenbuch
• Anzahl der Seiten: 60
• Kontakt zum Hersteller: Nicht verfügbar
• Verantwortliche Person: SIA OmniScriptum Publishing; customerservice@vdm-vsg.de; ; Brivibas gatve 197; Riga; 1039; Lettland