Innovative Issues in Intelligent Systems (Hardcover)

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 DrivenApplications 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.