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Innovative Issues in Intelligent Systems: Studies in Computational Intelligence, cartea 623

Editat de Vassil Sgurev, Ronald R. Yager, Janusz Kacprzyk, Vladimir Jotsov
en Limba Engleză Hardback – 16 feb 2016
This bookpresents a broad variety of different contemporary IT methods and applications inIntelligent Systems is displayed. Every book chapter represents a detailed,specific, far reaching and original re-search in a respective scientific andpractical field. However, all of the chapters share the common point of strongsimilarity in a sense of being innovative, applicable and mutually compatiblewith each other. In other words, the methods from the different chapters can beviewed as bricks for building the next generation “thinking machines” as wellas for other futuristic logical applications that are rapidly changing ourworld nowadays.
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Specificații

ISBN-13: 9783319272665
ISBN-10: 3319272667
Pagini: 353
Ilustrații: X, 353 p. 168 illus., 65 illus. in color.
Dimensiuni: 155 x 235 x 21 mm
Greutate: 0.69 kg
Ediția:1st ed. 2016
Editura: Springer International Publishing
Colecția Springer
Seria Studies in Computational Intelligence

Locul publicării:Cham, Switzerland

Public țintă

Research

Cuprins

A realistic Overview of Intelligent Systems in Industry.-Prediction of the Attention Area in Ambient Intelligence Tasks Using AdaptiveNeuro-Fuzzy Inference System (ANFIS).- Chapter III. Integration of KnowledgeComponents in Hybrid Intelligent Control Systems.- Learning IntelligentControls in High Speed Networks: Synergies of Computational Intelligence withControl and Q-Learning Theories.- Logical Operations and Inference in theComplex S-logic.- Generalized Nets as Tools for Modelling of Data MiningProcesses.- Induction of Modular Classification Rules by Information EntropyBased Rule Generation.- Proposals for Knowledge Driven and Data DrivenApplications in Security Systems.- On intuitionistic Fuzzy Operators from ModalTypes.- Uncertain Switched Fuzzy Systems: A Robust Output Feedback ControlDesign.- Multistep Modeling for Approximation and Classification by Use of RBFNetwork Models.

Textul de pe ultima copertă

This bookpresents a broad variety of different contemporary IT methods and applications inIntelligent Systems is displayed. Every book chapter represents a detailed,specific, far reaching and original re-search in a respective scientific andpractical field. However, all of the chapters share the common point of strongsimilarity in a sense of being innovative, applicable and mutually compatiblewith each other. In other words, the methods from the different chapters can beviewed as bricks for building the next generation “thinking machines” as wellas for other futuristic logical applications that are rapidly changing ourworld nowadays.

Caracteristici

Presents a wide interdisciplinary spectrum of applications of intelligent systems Recent research of intelligent systems Written by experts in the field Includes supplementary material: sn.pub/extras