The Resource Innovative issues in intelligent systems, Vassil Sgurev, Ronald R. Yager, Janusz Kacprzyk, Vladimir Jotsov, editors

Innovative issues in intelligent systems, Vassil Sgurev, Ronald R. Yager, Janusz Kacprzyk, Vladimir Jotsov, editors

Label
Innovative issues in intelligent systems
Title
Innovative issues in intelligent systems
Statement of responsibility
Vassil Sgurev, Ronald R. Yager, Janusz Kacprzyk, Vladimir Jotsov, editors
Contributor
Editor
Subject
Genre
Language
eng
Summary
This book presents a broad variety of different contemporary IT methods and applications in Intelligent Systems is displayed. Every book chapter represents a detailed, specific, far reaching and original re-search in a respective scientific and practical field. However, all of the chapters share the common point of strong similarity in a sense of being innovative, applicable and mutually compatible with each other. In other words, the methods from the different chapters can be viewed as bricks for building the next generation "thinking machines" as well as for other futuristic logical applications that are rapidly changing our world nowadays
Member of
Cataloging source
GW5XE
Dewey number
006.3
Illustrations
illustrations
Index
no index present
Language note
English
LC call number
Q335
Literary form
non fiction
Nature of contents
dictionaries
http://library.link/vocab/relatedWorkOrContributorDate
1941-
http://library.link/vocab/relatedWorkOrContributorName
  • Sgurev, Vasil
  • Yager, Ronald R.
  • Kacprzyk, Janusz
  • Jotsov, Vladimir
Series statement
Studies in computational intelligence,
Series volume
volume 623
http://library.link/vocab/subjectName
  • Artificial intelligence
  • Artificial intelligence
  • Engineering
  • Computational Intelligence
  • Artificial Intelligence (incl. Robotics)
  • Computers
  • Artificial intelligence
Label
Innovative issues in intelligent systems, Vassil Sgurev, Ronald R. Yager, Janusz Kacprzyk, Vladimir Jotsov, editors
Link
https://ezproxy.lib.ou.edu/login?url=http://link.springer.com/10.1007/978-3-319-27267-2
Instantiates
Publication
Antecedent source
unknown
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
A realistic Overview of Intelligent Systems in Industry -- Prediction of the Attention Area in Ambient Intelligence Tasks Using Adaptive Neuro-Fuzzy Inference System (ANFIS) -- Chapter III. Integration of Knowledge Components in Hybrid Intelligent Control Systems -- Learning Intelligent Controls in High Speed Networks: Synergies of Computational Intelligence with Control and Q-Learning Theories -- Logical Operations and Inference in the Complex S-logic -- Generalized Nets as Tools for Modelling of Data Mining Processes -- Induction of Modular Classification Rules by Information Entropy Based Rule Generation -- Proposals for Knowledge Driven and Data Driven Applications in Security Systems -- On intuitionistic Fuzzy Operators from Modal Types -- Uncertain Switched Fuzzy Systems: A Robust Output Feedback Control Design -- Multistep Modeling for Approximation and Classification by Use of RBF Network Models
Dimensions
unknown
Extent
1 online resource (x, 353 pages)
File format
unknown
Form of item
online
Isbn
9783319272672
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
c
Note
SpringerLink
Other control number
10.1007/978-3-319-27267-2
Other physical details
illustrations (some color).
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote
System control number
  • (OCoLC)939518932
  • (OCoLC)ocn939518932
Label
Innovative issues in intelligent systems, Vassil Sgurev, Ronald R. Yager, Janusz Kacprzyk, Vladimir Jotsov, editors
Link
https://ezproxy.lib.ou.edu/login?url=http://link.springer.com/10.1007/978-3-319-27267-2
Publication
Antecedent source
unknown
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
A realistic Overview of Intelligent Systems in Industry -- Prediction of the Attention Area in Ambient Intelligence Tasks Using Adaptive Neuro-Fuzzy Inference System (ANFIS) -- Chapter III. Integration of Knowledge Components in Hybrid Intelligent Control Systems -- Learning Intelligent Controls in High Speed Networks: Synergies of Computational Intelligence with Control and Q-Learning Theories -- Logical Operations and Inference in the Complex S-logic -- Generalized Nets as Tools for Modelling of Data Mining Processes -- Induction of Modular Classification Rules by Information Entropy Based Rule Generation -- Proposals for Knowledge Driven and Data Driven Applications in Security Systems -- On intuitionistic Fuzzy Operators from Modal Types -- Uncertain Switched Fuzzy Systems: A Robust Output Feedback Control Design -- Multistep Modeling for Approximation and Classification by Use of RBF Network Models
Dimensions
unknown
Extent
1 online resource (x, 353 pages)
File format
unknown
Form of item
online
Isbn
9783319272672
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
c
Note
SpringerLink
Other control number
10.1007/978-3-319-27267-2
Other physical details
illustrations (some color).
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote
System control number
  • (OCoLC)939518932
  • (OCoLC)ocn939518932

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