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Full Description
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.
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.
