ISBN: 9783030832124 - machine learning control by symbolic regression (12 risultati)

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  • Lingua: Inglese

    Editore: Springer, 2021

    3030832120 / 9783030832124

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    Condizione: New. A brand new book in pristine condition. Showing zero signs of shelf wear, creases, or damage.

  • Lingua: Inglese

    Editore: Springer, 2021

    3030832120 / 9783030832124

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  • Lingua: Inglese

    Editore: Springer, 2021

    3030832120 / 9783030832124

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  • Lingua: Inglese

    Editore: Springer, 2021

    3030832120 / 9783030832124

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  • Lingua: Inglese

    Editore: Springer, 2021

    3030832120 / 9783030832124

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    Da: Ria Christie Collections, Uxbridge, Regno UnitoRia Christie Collections

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    Condizione: New. In English.

  • Lingua: Inglese

    Editore: Springer, 2021

    3030832120 / 9783030832124

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    Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK

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  • Lingua: Inglese

    Editore: Springer, 2021

    3030832120 / 9783030832124

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

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    Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book provides comprehensive coverage on a new direction in computational mathematics research: automatic search for formulas. Formulas must be sought in all areas of science and life: these are the laws of the universe, the macro and micro world, fundamental physics, engineering, weather and natural disasters forecasting; the search for new laws in economics, politics, sociology. Accumulating many years of experience in the development and application of numerical methods of symbolic regression to solving control problems, the authors offernew possibilities not only in the field of control automation,but also in the design of completely different optimal structures in many fields.For specialists in the field of control,Machine Learning Control by Symbolic Regression opens up a new promising direction of research and acquaints scientists with the methods of automatic construction of control systems.For specialists in the fieldof machine learning, the book opens up a new, much broader direction than neural networks: methods of symbolic regression. This book makes it easy to master this new area in machine learning and apply this approach everywhere neural networks are used. For mathematicians, the book opens up a new approach to the construction of numerical methods for obtaining analytical solutions to unsolvable problems; for example, numerical analytical solutions of algebraic equations, differential equations, non-trivial integrals, etc.For specialists in the field of artificial intelligence, the book offers a machine way to solve problems, framed in the form of analytical relationships. …

  • Lingua: Inglese

    Editore: Springer-Nature New York Inc, 2021

    3030832120 / 9783030832124

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    Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books

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    Hardcover. Condizione: Brand New. 164 pages. 9.25x6.10x0.55 inches. In Stock.

  • Lingua: Inglese

    Editore: Springer, 2021

    3030832120 / 9783030832124

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    Da: Brook Bookstore On Demand, Napoli, NA, ItaliaBrook Bookstore On Demand

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

  • Lingua: Inglese

    Editore: Springer International Publishing Okt 2021, 2021

    3030832120 / 9783030832124

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    Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.

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    EUR 139,09

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    Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book provides comprehensive coverage on a new direction in computational mathematics research: automatic search for formulas. Formulas must be sought in all areas of science and life: these are the laws of the universe, the macro and micro world, fundamental physics, engineering, weather and natural disasters forecasting; the search for new laws in economics, politics, sociology. Accumulating many years of experience in the development and application of numerical methods of symbolic regression to solving control problems, the authors offernew possibilities not only in the field of control automation,but also in the design of completely different optimal structures in many fields.For specialists in the field of control,Machine Learning Control by Symbolic Regression opens up a new promising direction of research and acquaints scientists with the methods of automatic construction of control systems.For specialists in the fieldof machine learning, the book opens up a new, much broader direction than neural networks: methods of symbolic regression. This book makes it easy to master this new area in machine learning and apply this approach everywhere neural networks are used. For mathematicians, the book opens up a new approach to the construction of numerical methods for obtaining analytical solutions to unsolvable problems; for example, numerical analytical solutions of algebraic equations, differential equations, non-trivial integrals, etc.For specialists in the field of artificial intelligence, the book offers a machine way to solve problems, framed in the form of analytical relationships. 168 pp. Englisch.…

  • Lingua: Inglese

    Editore: Springer International Publishing, 2021

    3030832120 / 9783030832124

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    Da: moluna, Greven, Germaniamoluna

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    EUR 118,61

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    Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Introduces to a wide audience symbolic regression methods to find functions and laws in a form familiar with engineersOffers solutions in control automation, and also in the design of completely different optimal structures in all fieldsFor.…

  • Lingua: Inglese

    Editore: Springer, Palgrave Macmillan Okt 2021, 2021

    3030832120 / 9783030832124

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    Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000

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    EUR 139,09

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    Buch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book provides comprehensive coverage on a new direction in computational mathematics research: automatic search for formulas. Formulas must be sought in all areas of science and life: these are the laws of the universe, the macro and micro world, fundamental physics, engineering, weather and natural disasters forecasting; the search for new laws in economics, politics, sociology. Accumulating many years of experience in the development and application of numerical methods of symbolic regression to solving control problems, the authors offer new possibilities not only in the field of control automation, but also in the design of completely different optimal structures in many fields.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 168 pp. Englisch.…