Neuro-Fuzzy Clustering of Distorted Data Using Cat Swarm Optimization

Language: English

Published by LAP LAMBERT Academic Publishing Jan 2020, 2020

6200506426 / 9786200506429

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This item is printed on demand - Print on Demand Titel. Neuware -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.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 60 pp. Englisch.…

Seller Inventory # 9786200506429

Title
Neuro-Fuzzy Clustering of Distorted Data Using Cat Swarm Optimization
Author
Alina Shafronenko
Publisher
LAP LAMBERT Academic Publishing Jan 2020
Publication year
2020
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
6200506426
ISBN 13
9786200506429
Item weight
107 grams
Dimensions
220x150x5 mm

buchversandmimpf2000

Emtmannsberg, BAYE, Germany

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