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BL
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| Record Number
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865681
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| Title & Author
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Practical issues of intelligent innovations /\ Vassil Sgurev, Vladimir Jotsov, Janusz Kacprzyk, editors.
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| Publication Statement
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Cham, Switzerland :: Springer,, [2018]
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| Series Statement
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Studies in systems, decision and control ;; volume 140
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| Page. NO
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1 online resource :: illustrations
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| ISBN
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3030086984
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: 3319784366
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: 3319784374
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: 3319784382
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: 9783030086985
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: 9783319784366
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: 9783319784373
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: 9783319784380
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3319784366
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9783319784366
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| Bibliographies/Indexes
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Includes bibliographical references.
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| Contents
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Intro; Preface; Contents; Non-conventional Control Design by Sigmoid Generated Fixed Point Transformation Using Fuzzy Approximation; 1 Introduction; 2 Combination of Fuzzy Modeling and Sigmoid Generated Fixed Point Transformation; 2.1 The Concept of Sigmoid Generated Fixed Point Transformation; 2.2 Application Example: Adaptive Control of the Inverted Pendulum; 2.3 Realization of the Proposed Method; 3 Simulation Investigations; 3.1 Performance Using the Affine Model; 3.2 Performance Using the Soft Computing-Based Model; 3.3 Performance Using the Fully Soft Computing-Based Model.
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3 Correcting the Error Due to Drift of a TC CC4 The Method for Improving the Accuracy of Temperature Measurements Using Thermocouples with Inhomogeneous Legs; 5 The Furnace to Control the Temperature Field Profile Control of the TCPTF; 6 Computation of the Furnace Heaters' Power; 7 Computation of the Parameters of the TCPTF Heaters; 8 Controlling the Temperature Field of the TCPTF with a System of Linear Equations; 9 Using a Neural Network for Temperature Field Profile Control; 10 Essential Features of Proposed Puzzle Methods; 10.1 Different Types of Binding Constraints.
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4 ConclusionsReferences; 2 From von Neumann Architecture and Atanasoff's ABC to Neuromorphic Computation and Kasabov's NeuCube. Part II: Applications; Abstract; 1 Introduction; 2 Application of NeuCube in Brain Data Modelling; 3 NeuCube and Brain Computer Interfaces (BCI) with Neurofeedback for Neurorehabilitation; 4 NeuCube Personalized Modelling in Neuroinformatics and Bio-informatics; 5 Risk of Stroke Prediction; 6 Predicting and Understanding Response to Treatment in Biomedical Environment: A Case Study of Clozapine Monotherapy; 7 Seismic Data Modelling for Earthquake Prediction.
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8 NeuCube Spatio-Temporal Pattern Recognition from Satellite Images Remote Sensing9 Conclusions; Acknowledgements; References; Data-Driven Interval Type-2 Fuzzy Modelling for the Classification of Imbalanced Data; 1 Introduction; 2 Overview of the Rail Production Data; 2.1 Rail Manufacturing Data; 3 Data-Driven Fuzzy Modelling (DDFM); 3.1 Fast Correlation-Based Filter (FCBF) for Feature Selection; 3.2 Iterative Information Granulation; 3.3 Bootstrapping; 3.4 Parameter Identification of the NFM via the Application of an Oversampling Bootstrapping; 4 Simulation Results; 5 Conclusion.
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| Abstract
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This book presents recent advances in the field of intelligent systems. Composed of fourteen selected chapters, it covers a wide range of research that varies from applications in industrial data science to those in applied science. Today the word INNOVATION is more and more connected with the words INTELLIGENT and SECURITY, as such the book discusses the theory and applications of hot topics such as big data, education applications of robots with different levels of autonomy, knowledge-based modeling and control of complex dynamical systems, sign-based synthesis of behavior, security issues with intelligent systems, innovative intelligent control design, neuromorphic computation, data-driven classification, intelligent modeling and measurement innovations, multisensor data association, personal education assistants, a modern production architecture, study of peer review and scientometrics, intelligent research on bug report data, and clustering non-Gaussian data. The broad and varied research discussed represents the mainstream of contemporary intelligent innovations that are slowly but surely changing the world.
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Artificial intelligence.
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Computational intelligence.
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Expert systems (Computer science)
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Intelligent control systems.
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Artificial intelligence.
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Artificial intelligence.
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Computational intelligence.
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COMPUTERS-- General.
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Expert systems (Computer science)
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Intelligent control systems.
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Robotics.
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| Dewey Classification
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006.3
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| LC Classification
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Q342
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| Added Entry
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Jotsov, Vladimir
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Kacprzyk, Janusz
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Sgurev, Vasil
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