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Frontiers in Computational Intelligence

E-BookPDF1 - PDF WatermarkE-Book
143 Seiten
Englisch
Springer International Publishingerschienen am05.10.20171st ed. 2018
This book is a collection of several contributions which show the state of the art in specific areas of Computational Intelligence. This carefully edited book honors the 65th birthday of Rudolf Kruse. The main focus of these contributions lies on treating vague data as well as uncertain and imprecise information with automated procedures, which use techniques from statistics, control theory, clustering, neural networks etc. to extract useful and employable knowledge.mehr
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EUR106,99
E-BookPDF1 - PDF WatermarkE-Book
EUR96,29

Produkt

KlappentextThis book is a collection of several contributions which show the state of the art in specific areas of Computational Intelligence. This carefully edited book honors the 65th birthday of Rudolf Kruse. The main focus of these contributions lies on treating vague data as well as uncertain and imprecise information with automated procedures, which use techniques from statistics, control theory, clustering, neural networks etc. to extract useful and employable knowledge.
Details
Weitere ISBN/GTIN9783319677897
ProduktartE-Book
EinbandartE-Book
FormatPDF
Format Hinweis1 - PDF Watermark
FormatE107
Erscheinungsjahr2017
Erscheinungsdatum05.10.2017
Auflage1st ed. 2018
ReiheStudies in Computational Intelligence
Reihen-Nr.739
Seiten143 Seiten
SpracheEnglisch
IllustrationenIX, 143 p. 43 illus., 32 illus. in color.
Artikel-Nr.5849234
Rubriken
Genre9200

Inhalt/Kritik

Inhaltsverzeichnis
Chapter 1: what a fuzzy set is and what it is not?.- Chapter 2: Fuzzy random variables á la Kruse & Meyer and á la Puri & Ralescu: key differences and coincidences.- Chapter 3: Statistical Inference for Incomplete Ranking Data: A Comparison of two Likelihood-Based Estimators.- Chapter 4: Interval Type-2 Defuzzification Using Uncertainty Weights.- Chapter 5: Exploring time-resolved data for patterns and validating single clusters.- Chapter 6: Interpreting Cluster Structure in Waveform Data with Visual Assessment and Dunn's Index.- Chapter 7: A shared encoder DNN for integrated recognition and segmentation of traffic scenes.- Chapter 8: Fuzzy ontology support for knowledge mobilisationmehr

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