Presents a wide interdisciplinary spectrum of applications of intelligent systems
Recent research of intelligent systems
Written by experts in the field
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.
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.
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.
Inhaltsverzeichnis
A realistic Overview of Intelligent Systems in Industry.-rnPrediction of the Attention Area in Ambient Intelligence Tasks Using AdaptivernNeuro-Fuzzy Inference System (ANFIS).- Chapter III. Integration of KnowledgernComponents in Hybrid Intelligent Control Systems.- Learning IntelligentrnControls in High Speed Networks: Synergies of Computational Intelligence withrnControl and Q-Learning Theories.- Logical Operations and Inference in thernComplex S-logic.- Generalized Nets as Tools for Modelling of Data MiningrnProcesses.- Induction of Modular Classification Rules by Information EntropyrnBased Rule Generation.- Proposals for Knowledge Driven and Data DrivenrnApplications in Security Systems.- On intuitionistic Fuzzy Operators from ModalrnTypes.- Uncertain Switched Fuzzy Systems: A Robust Output Feedback ControlrnDesign.- Multistep Modeling for Approximation and Classification by Use of RBFrnNetwork Models.
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Klappentext
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.
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
