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1. |
Record Nr. |
UNINA9910131516903321 |
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Autore |
Vnuková Jana |
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Titolo |
Evidence in civil law : Slovakia / / Jana Vnuková |
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Pubbl/distr/stampa |
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Institute for Local Self-Government and Public Procurement Maribor, 2015 |
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Slovenia : , : Institute for Local Self Government and Public Procurement Maribor, , 2015 |
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ISBN |
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Descrizione fisica |
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1 online resource (ii, 50 pages) |
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Collana |
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Soggetti |
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Law - Europe, except U.K |
Law - Non-U.S |
Law, Politics & Government |
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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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Note generali |
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Bibliographic Level Mode of Issuance: Monograph |
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Nota di bibliografia |
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Includes bibliographical references. |
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Sommario/riassunto |
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Like in all jurisdictions of the Member States of the European Union the Slovak civil procedure is governed by the range of principles that were developed in Europe since 19th century. The thesis summarizes the main principles and their application by the judges when taking the evidence in the course of civil proceedings. It is evident that the observance of principles is vital not only in the drafting of legislation, but also in its implementation and claiming rights of the parties before the court. The combination of competing principles, such as free disposition principle and the officiality principle, as well as the adversarial and inquisitorial principles helps to achieve the situation in both positive law and the decision making practice of the courts, where it is possible to decide the civil cases in a fair and objective way enabling parties to use procedural tools at their disposal. The thesis further elaborates on role of principles in taking evidence at the court and it also describes the kinds and means of evidence according to the Slovak Code of Civil Procedure. |
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2. |
Record Nr. |
UNINA9910512156903321 |
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Autore |
Rajchakit Grienggrai |
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Titolo |
Stability Analysis of Neural Networks / / by Grienggrai Rajchakit, Praveen Agarwal, Sriraman Ramalingam |
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Pubbl/distr/stampa |
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Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2021 |
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ISBN |
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Edizione |
[1st ed. 2021.] |
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Descrizione fisica |
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1 online resource (xxvi, 404 pages) : illustrations |
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Collana |
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Mathematics and Statistics Series |
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Disciplina |
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Soggetti |
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Neural networks (Computer science) |
Dynamics |
Mathematical Models of Cognitive Processes and Neural Networks |
Dynamical Systems |
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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 bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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1. Introduction -- 2. LMI-Based Stability Criteria for BAM Neural Networks -- 3. Exponential Stability Criteria for Uncertain Inertial BAM Neural Networks -- 4. Exponential Stability of Impulsive Cohen-Grossberg BAM Neural Networks -- 5. Exponential Stability of Recurrent Neural Networks with Impulsive and Stochastic Effects -- 6. Stability of Markovian Jumping Stochastic Impulsive Uncertain BAM Neural Networks -- 7. Global Robust Exponential Stability of Stochastic Neutral-Type Neural Networks -- 8. Exponential Stability of Discrete-Time Cellular Uncertain BAM Neural Networks -- 9. Exponential Stability of Discrete-Time Stochastic Impulsive BAM Neural Networks -- 10. Stability of Discrete-Time Stochastic Quaternion-Valued Neural Networks -- 11. Robust Finite-Time Passivity of Markovian Jump Discrete-Time BAM Neural Networks -- 12 Robust Stability of Discrete-Time Stochastic Genetic Regulatory Networks. |
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Sommario/riassunto |
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This book discusses recent research on the stability of various neural networks with constrained signals. It investigates stability problems for delayed dynamical systems where the main purpose of the research is to reduce the conservativeness of the stability criteria. The book mainly focuses on the qualitative stability analysis of continuous-time as well as discrete-time neural networks with delays by presenting the |
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theoretical development and real-life applications in these research areas. The discussed stability concept is in the sense of Lyapunov, and, naturally, the proof method is based on the Lyapunov stability theory. The present book will serve as a guide to enable the reader in pursuing the study of further topics in greater depth and is a valuable reference for young researcher and scientists. . |
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