Alma alanis (32 Ergebnisse)

Zustand: Fair. : Sumérgete en la atmósfera misteriosa y encantadora de octubre con 'Taletober: Breves historias para las noches de octubre', una colección de relatos cortos de Alma Alanís. Este libro te invita a explorar historias concisas y evocadoras, perfectas para leer en las noches frescas de otoño. Cada relato captura la esencia de la temporada, desde lo espeluznante hasta lo mágico, ideal para los amantes de la literatura de ficción y fantasía.Este volumen recoge los microrrelatos nacidos en 2023 al cobijo del Taletober, el reto de creación literaria que propone escribir una breve historia al día durante el mes de octubre. EAN: 9798340742018 Tipo: Libros Categoría: Ciencia Ficción|Fantasía Título: Taletober: Breves historias para las noches de octubre Autor: Alma Alanís Editorial: Independently published Idioma: es-ES Páginas: 90 Formato: tapa blanda.…

Zustand: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

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Zustand: New.

Zustand: As New. Unread book in perfect condition.

Paperback. Zustand: Brand New. 246 pages. 9.21x6.14x0.47 inches. In Stock.

Taschenbuch. Zustand: Neu. La hipertensión arterial y la receta resurtible | Realmente funciona la Receta Resurtible | Alma Verónica Romo Guzmán Alicia Alanis Ocadiz Eliseo Lopez | Taschenbuch | 72 S. | Spanisch | 2018 | Editorial Académica Española | EAN 9786202118422 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.…

Zustand: New. Nancy Arana-Daniel received her B.Sc. Degree from the University of Guadalajara in 2000, and her M. Sc. And Ph.D. degrees in electric engineering with the special field in computer science from Research Center of the National Polytechnic.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Neural networks have become a well-established methodology as exempli ed by their applications to identi cation and control of general nonlinear and complex systems; the use of high order neural networks for modeling and learning has recently increased. Usingneuralnetworks,controlalgorithmscanbedevelopedtoberobustto uncertainties and modeling errors. The most used NN structures are Feedf- ward networks and Recurrent networks. The latter type o ers a better suited tool to model and control of nonlinear systems. There exist di erent training algorithms for neural networks, which, h- ever, normally encounter some technical problems such as local minima, slow learning, and high sensitivity to initial conditions, among others. As a viable alternative, new training algorithms, for example, those based on Kalman ltering, have been proposed. There already exists publications about trajectory tracking using neural networks; however, most of those works were developed for continuous-time systems. On the other hand, while extensive literature is available for linear discrete-timecontrolsystem,nonlineardiscrete-timecontroldesigntechniques have not been discussed to the same degree. Besides, discrete-time neural networks are better tted for real-time implementations.…

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Neural networks have become a well-established methodology as exempli ed by their applications to identi cation and control of general nonlinear and complex systems; the use of high order neural networks for modeling and learning has recently increased. Usingneuralnetworks,controlalgorithmscanbedevelopedtoberobustto uncertainties and modeling errors. The most used NN structures are Feedf- ward networks and Recurrent networks. The latter type o ers a better suited tool to model and control of nonlinear systems. There exist di erent training algorithms for neural networks, which, h- ever, normally encounter some technical problems such as local minima, slow learning, and high sensitivity to initial conditions, among others. As a viable alternative, new training algorithms, for example, those based on Kalman ltering, have been proposed. There already exists publications about trajectory tracking using neural networks; however, most of those works were developed for continuous-time systems. On the other hand, while extensive literature is available for linear discrete-timecontrolsystem,nonlineardiscrete-timecontroldesigntechniques have not been discussed to the same degree. Besides, discrete-time neural networks are better tted for real-time implementations.…

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Paperback. Zustand: Brand New. 152 pages. 9.00x6.00x0.50 inches. In Stock.

Taschenbuch. Zustand: Neu. Discrete-Time Neural Observers | Analysis and Applications | Alma Y Alanis (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2017 | Elsevier Inc | EAN 9780128105436 | Verantwortliche Person für die EU: Kolibri 360 GmbH, Ettore-Bugatti-Str. 6-14, 51149 Köln, produktsicherheit[at]kolibri360[dot]de | Anbieter: preigu. …

Zustand: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | Neural networks have become a well-established methodology as exempli?ed by their applications to identi?cation and control of general nonlinear and complex systems; the use of high order neural networks for modeling and learning has recently increased. Usingneuralnetworks,controlalgorithmscanbedevelopedtoberobustto uncertainties and modeling errors. The most used NN structures are Feedf- ward networks and Recurrent networks. The latter type o?ers a better suited tool to model and control of nonlinear systems. There exist di?erent training algorithms for neural networks, which, h- ever, normally encounter some technical problems such as local minima, slow learning, and high sensitivity to initial conditions, among others. As a viable alternative, new training algorithms, for example, those based on Kalman ?ltering, have been proposed. There already exists publications about trajectory tracking using neural networks; however, most of those works were developed for continuous-time systems. On the other hand, while extensive literature is available for linear discrete-timecontrolsystem,nonlineardiscrete-timecontroldesigntechniques have not been discussed to the same degree. Besides, discrete-time neural networks are better ?tted for real-time implementations.…

Taschenbuch. Zustand: Neu. Artificial Neural Networks for Engineering Applications | Alma Y Alanis (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2019 | Academic Press | EAN 9780128182475 | Verantwortliche Person für die EU: Elsevier B.V., Radarweg 29, 1043 NX AMSTERDAM, NIEDERLANDE, productsafety[at]elsevier[dot]com | Anbieter: preigu. …

Zustand: As New. Unread book in perfect condition.

Zustand: As New. Unread book in perfect condition.

Hardcover. Zustand: Brand New. 9.25x6.25x0.50 inches. In Stock.

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Kartoniert / Broschiert. Zustand: New. Presents the current trends for the solution of complex engineering problems that cannot be solved through conventional methods Includes real-life scenarios where a wide range of artificial neural network architectures can be used to solv.

Zustand: New. Provide in-depth analysis of neural control models and methodologies Presents a comprehensive review of common problems in real-life neural network systems Includes an analysis of potential applications, prototypes and future tren.

Zustand: New. Presents online learning for Recurrent High Order Neural Networks (RHONN) using the Extended Kalman Filter (EKF) algorithm Contains full and reduced order neural observers for discrete-time unknown nonlinear systems, with and without delay.

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Zustand: New. Covers topics from basic to advanced applications, ensuring a holistic understanding of AI applications in biomedical engineering and healthcareProvides a thorough exploration of the integration of AI in biomedical engineering, addressing t.

Taschenbuch. Zustand: Neu. Automation of Complex Systems: Bio-Medicine, Energy and Manufacturing | Mo. M. Jamshidi (u. a.) | Taschenbuch | Lecture Notes in Networks and Systems | xi | Englisch | 2026 | Springer | EAN 9783032101495 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. …

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Taschenbuch. Zustand: Neu. Neuware - Neural Networks Modelling and Control: Applications for Unknown Nonlinear Delayed Systems in Discrete Time focuses on modeling and control of discrete-time unknown nonlinear delayed systems under uncertainties based on Artificial Neural Networks. First, a Recurrent High Order Neural Network (RHONN) is used to identify discrete-time unknown nonlinear delayed systems under uncertainties, then a RHONN is used to design neural observers for the same class of systems. Therefore, both neural models are used to synthesize controllers for trajectory tracking based on two methodologies: sliding mode control and Inverse Optimal Neural Control. As well as considering the different neural control models and complications that are associated with them, this book also analyzes potential applications, prototypes and future trends.…

Paperback. Zustand: Brand New. 250 pages. 9.09x7.44x0.28 inches. In Stock.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book addresses the latest advances in key areas of network and systems. The book addresses the effects of artificial intelligence (AI) in some of the key areas of current global research. Manufacturing, energy, and biomedicine are addressed in this volume. Authors from the global community, from Australia, Asia, Europe and the Americas are contributing to this edition of Lecture Notes in Networks and Systems. Among the authors, there is a significant young researcher from around the world. These authors are the future of science and research and tis volume will go a long way to enhance their efforts in the 21st Century Advances.…