| Description |
1 online resource |
| Series |
Topics in intelligent engineering and informatics ; 14 |
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Topics in intelligent engineering and informatics ; 14.
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| Contents |
Intro; Preface; Contents; State and Loop Equivalence forLinear Parameter Varying Systems; 1 Introduction and Motivation; 2 LPV Versus I/O Framework; 2.1 Parameter Varying Invariant Subspaces; 3 LPV State Transformations; 4 Stability, Stabilizability; 4.1 Youla Parametrization; 5 Loop Transformations; 5.1 State Transform Versus Loop Transform; 5.2 Loop Transform and Youla Parametrization; 6 Conclusion; References; Finite-Time Neural Network Event-Triggered Dynamic Surface Control for Nonlinear Pure-Feedback Systems; 1 Introduction; 2 Model Description and Preliminaries; 2.1 Model Description |
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2.2 Radial Basis Function Neural Networks (RBFNNs)2.3 Finite-Time Stability; 3 Controller Design; 4 Stability Analysis; 5 Simulation Studies; 6 Conclusion; References; The Square-Root Rule forScaling Memory Channels inServers; 1 Introduction; 2 Evolution of Core Counts and Memory Transfer Rates inIntel's and IBM's High-End Servers; 3 Scaling Memory Bandwidth with Respect totheCore Count; 3.1 Our Approach; 3.2 Assumed Evolution Model of Core Counts and Memory Transfer Rates; 3.3 Scaling the Memory Bandwidth with Respect totheCore Count |
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3.4 Assessing the Evolution oftheMemory System Architecture of Intel's, AMD's and IBM's High-End Server Lines inLight oftheSquare-Root Rule3.5 Overview oftheEvolution oftheMemory Systems inIntel's, IBM's and AMD's High-End Servers; 4 Conclusions; References; A Priori Membership for Data Representation: Case Study of SPECT Heart Data Set; 1 Introduction; 2 The Innovative Notions of PDP and Literatures; 2.1 Priori and Posterior; 2.2 Global and Local Featuring; 2.3 Data Representation; 2.4 Analytics and Data Science; 2.5 RST; 2.6 Approximations; 2.7 Induction by DRSA; 3 PDP |
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3.1 Information and Symbols3.2 Evidential Induction; 3.3 Membership I and II; 4 Case Studies; 4.1 Priori Membership for SPECT; 4.2 Low Rank Representation with Membership II and III; 4.3 Achievement; 5 Discussion; 5.1 Independence or Preference; 5.2 Uniqueness; 6 Conclusions; References; Heterogeneous Exascale Computing; 1 Introduction; 2 Exascale Learning on Medical Image Data; 2.1 Medical Use Case Motivation; 2.2 Goal of the Medical Use Case; 2.3 Model Training Workflow of the Medical Use Case; 3 Square Kilometre Array/LOFAR; 3.1 SKA Use Case Motivation; 3.2 Goal of the SKA Use Case |
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3.3 SKA Use Case Scenario4 Supporting Innovation Based on Global Disaster Risk Data; 4.1 Goal of the UNISDR Use Case; 4.2 Workflow of the UNISDR Use Case; 5 Ancillary Pricing for Airline Revenue Management; 5.1 Ancillary Pricing Use Case Motivation; 5.2 Goal of the Ancillary Pricing Use Case; 5.3 Scenario of the Ancillary Pricing Use Case; 6 Agricultural Analysis Based on Copernicus Data; 6.1 Copernicus Use Case Motivation; 6.2 Goal of the Copernicus Use Case; 6.3 Workflow of the Copernicus Use Case; 7 Common Architecture Driven by the Use Cases; 7.1 Architecture Components |
| Summary |
This book gathers contributions on fuzzy neural control, intelligent and non-linear control, dynamic systems and cyber-physical systems. It presents the latest theoretical and practical results, including numerous applications of computational intelligence in various disciplines such as engineering, medicine, technology and the environment. The book is dedicated to Imre J. Rudas on his seventieth birthday |
| Bibliography |
Includes bibliographical references |
| Notes |
Online resource; title from PDF title page (EBSCO, viewed March 25, 2019) |
| Subject |
Expert systems (Computer science)
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Expert Systems
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COMPUTERS -- General.
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Expert systems (Computer science)
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| Form |
Electronic book
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| Author |
Kovács, Levente, editor
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Haidegger, Tamás, editor
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Szakál, Anikó, editor
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| ISBN |
9783030143503 |
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3030143503 |
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