Soft computing interdisciplinary sciences (22 résultats)

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  • Langue : anglais

    Edité par Springer Nature Singapore, 2022

    9811647151 / 9789811647154

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    Etat : Sehr gut. Zustand: Sehr gut | Seiten: 272 | Sprache: Englisch | Produktart: Bücher | This book meets the present and future needs for the interaction between various science and technology/engineering areas on the one hand and different branches of soft computing on the other. Soft computing is the recent development about the computing methods which include fuzzy set theory/logic, evolutionary computation (EC), probabilistic reasoning, artificial neural networks, machine learning, expert systems, etc. Soft computing refers to a partnership of computational techniques in computer science, artificial intelligence, machine learning, and some other engineering disciplines, which attempt to study, model, and analyze complex problems from different interdisciplinary problems. This, as opposed to traditional computing, deals with approximate models and gives solutions to complex real-life problems. Unlike hard computing, soft computing is tolerant of imprecision, uncertainty, partial truth, and approximations. Interdisciplinary sciences includevarious challenging problems of science and engineering. Recent developments in soft computing are the bridge to handle different interdisciplinary science and engineering problems. In recent years, the correspondingly increased dialog between these disciplines has led to this new book. This is done, firstly, by encouraging the ways that soft computing may be applied in traditional areas, as well as point towards new and innovative areas of applications and secondly, by encouraging other scientific disciplines to engage in a dialog with the above computation algorithms outlining their problems to both access new methods as well as to suggest innovative developments within itself.…

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    9811647151 / 9789811647154

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    9811647127 / 9789811647123

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    9811647151 / 9789811647154

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    Taschenbuch. Etat : Neu. Soft Computing in Interdisciplinary Sciences | S. Chakraverty | Taschenbuch | xiii | Englisch | 2022 | Springer | EAN 9789811647154 | 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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    9811647151 / 9789811647154

    Série : Livre 490 sur 538 - Studies in Computational Intelligence

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    Etat : New. 1st ed. 2022 edition NO-PA16APR2015-KAP.

  • Langue : anglais

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    9811647127 / 9789811647123

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    Etat : New. 1st ed. 2022 edition NO-PA16APR2015-KAP.

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    Paperback. Etat : Brand New. 270 pages. 9.25x6.10x0.57 inches. In Stock.

  • Langue : anglais

    Edité par Springer Nature, 2021

    9811647127 / 9789811647123

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    Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This book meets the present and future needs for the interaction between various science and technology/engineering areas on the one hand and different branches of soft computing on the other. Soft computing is the recent development about the computing methods which include fuzzy set theory/logic, evolutionary computation (EC), probabilistic reasoning, artificial neural networks, machine learning, expert systems, etc. Soft computingrefers to a partnership of computational techniques in computer science, artificial intelligence, machine learning, and some other engineering disciplines, which attempt to study, model, and analyze complex problems from different interdisciplinary problems. This, as opposed to traditional computing, deals with approximate models and gives solutions to complex real-life problems. Unlike hard computing, soft computing is tolerant of imprecision, uncertainty, partial truth, and approximations.Interdisciplinary sciences includevarious challenging problems of science and engineering. Recent developments in soft computing are the bridge to handle different interdisciplinary science and engineering problems. In recent years, the correspondingly increased dialog between these disciplines has led to this new book.This is done, firstly, by encouraging the ways that soft computing may be applied in traditional areas, as well as point towards new and innovative areas of applications and secondly, by encouraging other scientific disciplines to engage in a dialog with the above computation algorithms outlining their problems to both access new methods as well as to suggest innovative developments within itself.…

  • Langue : anglais

    Edité par Springer, 2021

    9811647127 / 9789811647123

    Série : Livre 490 sur 538 - Studies in Computational Intelligence

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    Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This book meets the present and future needs for the interaction between various science and technology/engineering areas on the one hand and different branches of soft computing on the other. Soft computing is the recent development about the computing methods which include fuzzy set theory/logic, evolutionary computation (EC), probabilistic reasoning, artificial neural networks, machine learning, expert systems, etc. Soft computingrefers to a partnership of computational techniques in computer science, artificial intelligence, machine learning, and some other engineering disciplines, which attempt to study, model, and analyze complex problems from different interdisciplinary problems. This, as opposed to traditional computing, deals with approximate models and gives solutions to complex real-life problems. Unlike hard computing, soft computing is tolerant of imprecision, uncertainty, partial truth, and approximations.Interdisciplinary sciences includevarious challenging problems of science and engineering. Recent developments in soft computing are the bridge to handle different interdisciplinary science and engineering problems. In recent years, the correspondingly increased dialog between these disciplines has led to this new book.This is done, firstly, by encouraging the ways that soft computing may be applied in traditional areas, as well as point towards new and innovative areas of applications and secondly, by encouraging other scientific disciplines to engage in a dialog with the above computation algorithms outlining their problems to both access new methods as well as to suggest innovative developments within itself.…

  • Langue : anglais

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    9811647151 / 9789811647154

    Série : Livre 490 sur 538 - Studies in Computational Intelligence

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    9811647127 / 9789811647123

    Série : Livre 490 sur 538 - Studies in Computational Intelligence

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  • Langue : anglais

    Edité par Springer, Berlin|Springer Nature Singapore|Springer, 2022

    9811647127 / 9789811647123

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    Gebunden. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book meets the present and future needs for the interaction between various science and technology/engineering areas on the one hand and different branches of soft computing on the other. Soft computing is the recent development about the computing .…

  • Langue : anglais

    Edité par Springer, Berlin|Springer Nature Singapore|Springer, 2022

    9811647151 / 9789811647154

    Série : Livre 490 sur 538 - Studies in Computational Intelligence

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    Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book meets the present and future needs for the interaction between various science and technology/engineering areas on the one hand and different branches of soft computing on the other. Soft computing is the recent development about the computing .…

  • Langue : anglais

    Edité par Springer Nature Singapore Nov 2021, 2021

    9811647127 / 9789811647123

    Série : Livre 490 sur 538 - Studies in Computational Intelligence

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    Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book meets the present and future needs for the interaction between various science and technology/engineering areas on the one hand and different branches of soft computing on the other. Soft computing is the recent development about the computing methods which include fuzzy set theory/logic, evolutionary computation (EC), probabilistic reasoning, artificial neural networks, machine learning, expert systems, etc. Soft computingrefers to a partnership of computational techniques in computer science, artificial intelligence, machine learning, and some other engineering disciplines, which attempt to study, model, and analyze complex problems from different interdisciplinary problems. This, as opposed to traditional computing, deals with approximate models and gives solutions to complex real-life problems. Unlike hard computing, soft computing is tolerant of imprecision, uncertainty, partial truth, and approximations.Interdisciplinary sciences include various challenging problems of science and engineering. Recent developments in soft computing are the bridge to handle different interdisciplinary science and engineering problems. In recent years, the correspondingly increased dialog between these disciplines has led to this new book.This is done, firstly, by encouraging the ways that soft computing may be applied in traditional areas, as well as point towards new and innovative areas of applications and secondly, by encouraging other scientific disciplines to engage in a dialog with the above computation algorithms outlining their problems to both access new methods as well as to suggest innovative developments within itself. 272 pp. Englisch.…

  • Langue : anglais

    Edité par Springer Nature Singapore Nov 2022, 2022

    9811647151 / 9789811647154

    Série : Livre 490 sur 538 - Studies in Computational Intelligence

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    Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book meets the present and future needs for the interaction between various science and technology/engineering areas on the one hand and different branches of soft computing on the other. Soft computing is the recent development about the computing methods which include fuzzy set theory/logic, evolutionary computation (EC), probabilistic reasoning, artificial neural networks, machine learning, expert systems, etc. Soft computingrefers to a partnership of computational techniques in computer science, artificial intelligence, machine learning, and some other engineering disciplines, which attempt to study, model, and analyze complex problems from different interdisciplinary problems. This, as opposed to traditional computing, deals with approximate models and gives solutions to complex real-life problems. Unlike hard computing, soft computing is tolerant of imprecision, uncertainty, partial truth, and approximations.Interdisciplinary sciences include various challenging problems of science and engineering. Recent developments in soft computing are the bridge to handle different interdisciplinary science and engineering problems. In recent years, the correspondingly increased dialog between these disciplines has led to this new book.This is done, firstly, by encouraging the ways that soft computing may be applied in traditional areas, as well as point towards new and innovative areas of applications and secondly, by encouraging other scientific disciplines to engage in a dialog with the above computation algorithms outlining their problems to both access new methods as well as to suggest innovative developments within itself. 272 pp. Englisch.…

  • Langue : anglais

    Edité par Springer, Springer Nature Singapore Nov 2022, 2022

    9811647151 / 9789811647154

    Série : Livre 490 sur 538 - Studies in Computational Intelligence

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    Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book meets the present and future needs for the interaction between various science and technology/engineering areas on the one hand and different branches of soft computing on the other. Soft computing is the recent development about the computing methods which include fuzzy set theory/logic, evolutionary computation (EC), probabilistic reasoning, artificial neural networks, machine learning, expert systems, etc. Soft computing refers to a partnership of computational techniques in computer science, artificial intelligence, machine learning, and some other engineering disciplines, which attempt to study, model, and analyze complex problems from different interdisciplinary problems. This, as opposed to traditional computing, deals with approximate models and gives solutions to complex real-life problems. Unlike hard computing, soft computing is tolerant of imprecision, uncertainty, partial truth, and approximations.Interdisciplinary sciences includevarious challenging problems of science and engineering. Recent developments in soft computing are the bridge to handle different interdisciplinary science and engineering problems. In recent years, the correspondingly increased dialog between these disciplines has led to this new book.This is done, firstly, by encouraging the ways that soft computing may be applied in traditional areas, as well as point towards new and innovative areas of applications and secondly, by encouraging other scientific disciplines to engage in a dialog with the above computation algorithms outlining their problems to both access new methods as well as to suggest innovative developments within itself.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 272 pp. Englisch.…

  • Langue : anglais

    Edité par Springer, Springer Nature Singapore Nov 2021, 2021

    9811647127 / 9789811647123

    Série : Livre 490 sur 538 - Studies in Computational Intelligence

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    Buch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book meets the present and future needs for the interaction between various science and technology/engineering areas on the one hand and different branches of soft computing on the other. Soft computing is the recent development about the computing methods which include fuzzy set theory/logic, evolutionary computation (EC), probabilistic reasoning, artificial neural networks, machine learning, expert systems, etc. Soft computing refers to a partnership of computational techniques in computer science, artificial intelligence, machine learning, and some other engineering disciplines, which attempt to study, model, and analyze complex problems from different interdisciplinary problems. This, as opposed to traditional computing, deals with approximate models and gives solutions to complex real-life problems. Unlike hard computing, soft computing is tolerant of imprecision, uncertainty, partial truth, and approximations.Interdisciplinary sciences includevarious challenging problems of science and engineering. Recent developments in soft computing are the bridge to handle different interdisciplinary science and engineering problems. In recent years, the correspondingly increased dialog between these disciplines has led to this new book.This is done, firstly, by encouraging the ways that soft computing may be applied in traditional areas, as well as point towards new and innovative areas of applications and secondly, by encouraging other scientific disciplines to engage in a dialog with the above computation algorithms outlining their problems to both access new methods as well as to suggest innovative developments within itself.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 272 pp. Englisch.…

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    9811647151 / 9789811647154

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