ISBN: 9781032807355 - zhang time discretization (ztd) formulas and applications (8 risultati)

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  • Lingua: Inglese

    Editore: CRC Press, 2026

    1032807350 / 9781032807355

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    Da: California Books, Miami, FL, U.S.A.California Books

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  • Lingua: Inglese

    Editore: Taylor & Francis Ltd, 2026

    1032807350 / 9781032807355

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    Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books

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    EUR 108,98

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    Paperback. Condizione: Brand New. 323 pages. 7.01x0.81x10.00 inches. In Stock.

  • Lingua: Inglese

    Editore: CRC Press, 2026

    1032807350 / 9781032807355

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    Da: moluna, Greven, Germaniamoluna

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    Condizione: New. Yunong Zhang, PH.D., earned his B.S. degree from Huazhong University of Science and Technology, Wuhan, China, in 1996, his M.S. degree from South China University of Technology, Guangzhou, China, in 1999, and his Ph.D. from the Chinese University .

  • Lingua: Inglese

    Editore: Taylor & Francis Ltd (Sales) Jun 2026, 2026

    1032807350 / 9781032807355

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    Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH

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    EUR 112,52

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    Taschenbuch. Condizione: Neu. Neuware - This book aims to solve the discrete implementation problems of continuous-time neural network models while improving the performance of neural networks by using various Zhang Time Discretization (ZTD) formulas.The authors summarize and present the systematic derivations and complete research of ZTD formulas from special 3S-ZTD formulas to general NS-ZTD formulas. These finally lead to their proposed discrete-time Zhang neural network (DTZNN) algorithms, which are more efficient, accurate, and elegant. This book will open the door to scientific and engineering applications of ZTD formulas and neural networks, and will be a major inspiration for studies in neural network modeling, numerical algorithm design, prediction, and robot manipulator control.The book will benefit engineers, senior undergraduates, graduate students, and researchers in the fields of neural networks, computer mathematics, computer science, artificial intelligence, numerical algorithms, optimization, robotics, and simulation modeling.…

  • Lingua: Inglese

    Editore: CRC Press, 2026

    1032807350 / 9781032807355

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    Da: PBShop.store US, Wood Dale, IL, U.S.A.PBShop.store US

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    PAP. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

  • Lingua: Inglese

    Editore: CRC Press, 2026

    1032807350 / 9781032807355

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    Da: PBShop.store UK, Fairford, GLOS, Regno UnitoPBShop.store UK

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    PAP. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

  • Lingua: Inglese

    Editore: CRC Press, 2026

    1032807350 / 9781032807355

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    Da: THE SAINT BOOKSTORE, Southport, Regno UnitoTHE SAINT BOOKSTORE

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    Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.

  • Lingua: Inglese

    Editore: Taylor & Francis Ltd, London, 2026

    1032807350 / 9781032807355

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    Da: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller

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    EUR 97,27

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    Paperback. Condizione: new. Paperback. This book aims to solve the discrete implementation problems of continuous-time neural network models while improving the performance of neural networks by using various Zhang Time Discretization (ZTD) formulas.The authors summarize and present the systematic derivations and complete research of ZTD formulas from special 3S-ZTD formulas to general NS-ZTD formulas. These finally lead to their proposed discrete-time Zhang neural network (DTZNN) algorithms, which are more efficient, accurate, and elegant. This book will open the door to scientific and engineering applications of ZTD formulas and neural networks, and will be a major inspiration for studies in neural network modeling, numerical algorithm design, prediction, and robot manipulator control.The book will benefit engineers, senior undergraduates, graduate students, and researchers in the fields of neural networks, computer mathematics, computer science, artificial intelligence, numerical algorithms, optimization, robotics, and simulation modeling. The book aims to solve the discrete implementation problems of continuous-time neural network models while improving the performance of neural networks by using various Zhang Time Discretization (ZTD) formulas. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…