Zhou wuneng (16 risultati)

Condizione: New. In English.

Condizione: New. pp. 400.

Taschenbuch. Condizione: Neu. Stability and Synchronization Control of Stochastic Neural Networks | Wuneng Zhou (u. a.) | Taschenbuch | xvi | Englisch | 2016 | Springer | EAN 9783662517161 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. …

Condizione: New. pp. 357.

Paperback. Condizione: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Condizione: new. Questo è un articolo print on demand.

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This bookreports on the latest findings in the study of Stochastic Neural Networks (SNN). The book collects the novel model of the disturbance driven by Levy process, the research method of M-matrix, and the adaptive control method of the SNN in the context of stability and synchronization control. The book will be of interest to university researchers, graduate students in control science and engineering and neural networks who wish to learn the core principles, methods, algorithms and applications of SNN. 376 pp. Englisch. …

Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This bookreports on the latest findings in the study of Stochastic Neural Networks (SNN). The book collects the novel model of the disturbance driven by Levy process, the research method of M-matrix, and the adaptive control method of the SNN in the context of stability and synchronization control. The book will be of interest to university researchers, graduate students in control science and engineering and neural networks who wish to learn the core principles, methods, algorithms and applications of SNN. 376 pp. Englisch.…

Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Introduces for the first time the stochastic disturbance driven by Levy process in modeling stochastic neural networksApplies the M-matrix method to analyze and synthesize the synchronization criteria for stochastic neural networksExtends t.…

Gebunden. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Introduces for the first time the stochastic disturbance driven by Levy process in modeling stochastic neural networksApplies the M-matrix method to analyze and synthesize the synchronization criteria for stochastic neural networksExtends t.…

Condizione: New. Print on Demand pp. 400.

Condizione: New. PRINT ON DEMAND pp. 400.

Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book reports on the latest findings in the study of Stochastic Neural Networks (SNN). The book collects the novel model of the disturbance driven by Levy process, the research method of M-matrix, and the adaptive control method of the SNN in the context of stability and synchronization control. The book will be of interest to university researchers, graduate students in control science and engineering and neural networks who wish to learn the core principles, methods, algorithms and applications of SNN.Springer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 376 pp. Englisch.…

Buch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book reports on the latest findings in the study of Stochastic Neural Networks (SNN). The book collects the novel model of the disturbance driven by Levy process, the research method of M-matrix, and the adaptive control method of the SNN in the context of stability and synchronization control. The book will be of interest to university researchers, graduate students in control science and engineering and neural networks who wish to learn the core principles, methods, algorithms and applications of SNN.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 376 pp. Englisch.…

Condizione: New. Print on Demand pp. 357.

Condizione: New. PRINT ON DEMAND pp. 357.