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Verlag: Springer-Nature New York Inc, 2025
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - The three-volume set CCIS2603, 2604 and 2605 constitutes the refereedproceedings of the 16th International Conference on Intelligent Systems, INTELS 2024, held in Moscow, Russia, during December 2 4, 2024.The 72 papers included in these proceedings were carefully reviewed and selected from 140 submissions. They focus onareas of intelligent systems and artificial intelligence and their application to sustainable development and new challenges to the society.
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ISBN 10: 3030832155 ISBN 13: 9783030832155
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Paperback. Zustand: new. Paperback. 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. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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ISBN 10: 3030832120 ISBN 13: 9783030832124
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Hardcover. Zustand: new. Hardcover. 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. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - The three-volume set CCIS2603, 2604 and 2605 constitutes the refereedproceedings of the 16th International Conference on Intelligent Systems, INTELS 2024, held in Moscow, Russia, during December 2 4, 2024.The 72 papers included in these proceedings were carefully reviewed and selected from 140 submissions. They focus onareas of intelligent systems and artificial intelligence and their application to sustainable development and new challenges to the society.
Sprache: Englisch
Verlag: Springer-Verlag Gmbh Nov 2025, 2025
ISBN 10: 3032047579 ISBN 13: 9783032047571
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - The three-volume set CCIS2603, 2604 and 2605 constitutes the refereedproceedings of the 16th International Conference on Intelligent Systems, INTELS 2024, held in Moscow, Russia, during December 2 4, 2024.The 72 papers included in these proceedings were carefully reviewed and selected from 140 submissions. They focus onareas of intelligent systems and artificial intelligence and their application to sustainable development and new challenges to the society.
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ISBN 10: 3030832155 ISBN 13: 9783030832155
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Paperback. Zustand: new. Paperback. 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. 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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.