Practical issues of intelligent innovations. ([2018])

• Record Type: Book
• Further Information: Note: Vassil Sgurev, Vladimir Jotsov, Janusz Kacprzyk, editors.
• Editors: Sgurev, Vasil; Jotsov, Vladimir; Kacprzyk, Janusz
• Contents: 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 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 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 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
• Publisher Details: Cham, Switzerland : Springer
• Publication Date: 2018
• Extent: 1 online resource, illustrations
• Subjects: 006.3; Engineering; Computational intelligence; Intelligent control systems; Expert systems (Computer science); Artificial intelligence; COMPUTERS / General; Artificial intelligence; Computational intelligence; Expert systems (Computer science); Intelligent control systems; Engineering; Computational Intelligence; Artificial Intelligence (incl. Robotics); Robotics and Automation; Computers -- Intelligence (AI) & Semantics; Technology & Engineering -- Robotics; Artificial intelligence; Robotics; Electronic books
• Languages: English
• ISBNs: 9783319784373; 3319784374; 3319784366; 9783319784366
• Related ISBNs: 9783319784366; 3319784366
• Notes: Note: Includes bibliographical references.; Note: Online resource; title from PDF title page (EBSCO, viewed July 13, 2018).
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.