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Record Nr. |
UNINA9910632496903321 |
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Autore |
Xiao Lin |
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Titolo |
Zeroing Neural Networks : Finite-Time Convergence Design, Analysis and Applications |
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Pubbl/distr/stampa |
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Newark : , : John Wiley & Sons, Incorporated, , 2022 |
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©2023 |
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ISBN |
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1-119-98604-4 |
1-119-98602-8 |
1-119-98603-6 |
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Descrizione fisica |
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1 online resource (435 pages) |
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Altri autori (Persone) |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Cover -- Title Page -- Copyright -- Contents -- List of Figures -- List of Tables -- Author Biographies -- Preface -- Acknowledgments -- Part I Application to Matrix Square Root -- Chapter 1 FTZNN for Time‐varying Matrix Square Root -- 1.1 Introduction -- 1.2 Problem Formulation and ZNN Model -- 1.3 FTZNN Model -- 1.3.1 Model Design -- 1.3.2 Theoretical Analysis -- 1.4 Illustrative Verification -- 1.5 Chapter Summary -- References -- Chapter 2 FTZNN for Static Matrix Square Root -- 2.1 Introduction -- 2.2 Solution Models -- 2.2.1 OZNN Model -- 2.2.2 FTZNN Model -- 2.3 Illustrative Verification -- 2.3.1 Example 1 -- 2.3.2 Example 2 -- 2.4 Chapter Summary -- References -- Part II Application to Matrix Inversion -- Chapter 3 Design Scheme I of FTZNN -- 3.1 Introduction -- 3.2 Problem Formulation and Preliminaries -- 3.3 FTZNN Model -- 3.3.1 Model Design -- 3.3.2 Theoretical Analysis -- 3.4 Illustrative Verification -- 3.4.1 Example 1: Nonrandom Time‐varying Coefficients -- 3.4.2 Example 2: Random Time‐varying Coefficients -- 3.5 Chapter Summary -- References -- Chapter 4 Design Scheme II of FTZNN -- 4.1 Introduction -- 4.2 Preliminaries -- 4.2.1 Mathematical Preparation -- 4.2.2 Problem Formulation -- 4.3 NT‐FTZNN Model -- 4.4 Theoretical Analysis -- 4.4.1 NT‐FTZNN in the Absence of Noises -- 4.4.2 NT‐FTZNN in the Presence of Noises -- 4.4.2.1 Dynamic Bounded |
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