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Innovative Issues in Intelligent Systems

Overview of attention for book
Cover of 'Innovative Issues in Intelligent Systems'

Table of Contents

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    Book Overview
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    Chapter 1 Intelligent Systems in Industry
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    Chapter 2 Prediction of the Attention Area in Ambient Intelligence Tasks
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    Chapter 3 Integration of Knowledge Components in Hybrid Intelligent Control Systems
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    Chapter 4 Learning Intelligent Controls in High Speed Networks: Synergies of Computational Intelligence with Control and Q-Learning Theories
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    Chapter 5 Logical Operations and Inference in the Complex s-Logic
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    Chapter 6 Generalized Nets as a Tool for the Modelling of Data Mining Processes
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    Chapter 7 Induction of Modular Classification Rules by Information Entropy Based Rule Generation
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    Chapter 8 Proposals for Knowledge Driven and Data Driven Applications in Security Systems
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    Chapter 9 On Some Modal Type Intuitionistic Fuzzy Operators
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    Chapter 10 Uncertain Switched Fuzzy Systems: A Robust Output Feedback Control Design
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    Chapter 11 Multistep Modeling for Approximation and Classification by Use of RBF Network Models
Attention for Chapter 11: Multistep Modeling for Approximation and Classification by Use of RBF Network Models
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Citations

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Chapter title
Multistep Modeling for Approximation and Classification by Use of RBF Network Models
Chapter number 11
Book title
Innovative Issues in Intelligent Systems
Published by
Springer, Cham, January 2016
DOI 10.1007/978-3-319-27267-2_11
Book ISBNs
978-3-31-927266-5, 978-3-31-927267-2
Authors

Gancho Vachkov

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Professor 1 33%
Student > Doctoral Student 1 33%
Unknown 1 33%
Readers by discipline Count As %
Computer Science 2 67%
Unknown 1 33%

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