Condici�n: Sehr gut. Zustand: Sehr gut - Gepflegter, sauberer Zustand. | Seiten: 152 | Sprache: Englisch | Produktart: B�cher. N� de ref. del art�culo: 40643226/2

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Application of Soft Computing, Machine Learning, Deep Learning and Optimizations in Geoengineering and Geoscience

Zhang, Wengang|Zhang, Yanmei|Gu, Xin|Wu, Chongzhi|Han, Liang

Publicado por Springer, Berlin|Springer Nature Singapore|Springer, 2022

ISBN 10: 981166837X ISBN 13: 9789811668371

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Kartoniert / Broschiert. Condici�n: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book summarizes the application of soft computing techniques, machine learning approaches, deep learning algorithms and optimization techniques in geoengineering including tunnelling, excavation, pipelines, etc. and geoscience including the geohazards,. N� de ref. del art�culo: 715557704

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Application of Soft Computing, Machine Learning, Deep Learning and Optimizations in Geoengineering and Geoscience

Zhang, Wengang; Zhang, Yanmei; Gu, Xin; Wu, Chongzhi; Han, Liang

Publicado por Springer, 2022

ISBN 10: 981166837X ISBN 13: 9789811668371

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Librería: Ria Christie Collections, Uxbridge, Reino Unido

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Condici�n: New. In. N� de ref. del art�culo: ria9789811668371_new

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Application of Soft Computing, Machine Learning, Deep Learning and Optimizations in Geoengineering and Geoscience

Wengang Zhang

Publicado por Springer Nature Singapore Okt 2022, 2022

ISBN 10: 981166837X ISBN 13: 9789811668371

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Taschenbuch. Condici�n: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book summarizes the application of soft computing techniques, machine learning approaches, deep learning algorithms and optimization techniques in geoengineering including tunnelling, excavation, pipelines, etc. and geoscience including the geohazards, rock and soil properties, etc. The book features state-of-the-art studies on use of SC,ML,DL and optimizations in Geoengineering and Geoscience.Considering these points and understanding, this book will be compiled with highly focussed chapters that will discuss the application of SC,ML,DL and optimizations in Geoengineering and Geoscience.Target audience: (1) Students of UG, PG, and Research Scholars: Several applications of SC,ML,DL and optimizations in Geoengineering and Geoscience can help students to enhance their knowledge in this domain. (2) Industry Personnel and Practitioner: Practitioners from different fields can be able to implement standard and advanced SC,ML,DL and optimizations for solving critical problems of civil engineering. 152 pp. Englisch. N� de ref. del art�culo: 9789811668371

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Application of Soft Computing, Machine Learning, Deep Learning and Optimizations in Geoengineering and Geoscience

Wengang Zhang

Publicado por Springer Nature Singapore, Springer Nature Singapore, 2022

ISBN 10: 981166837X ISBN 13: 9789811668371

Nuevo Taschenbuch

Librería: AHA-BUCH GmbH, Einbeck, Alemania

Calificaci�n del vendedor: 5 de 5 estrellas

Taschenbuch. Condici�n: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book summarizes the application of soft computing techniques, machine learning approaches, deep learning algorithms and optimization techniques in geoengineering including tunnelling, excavation, pipelines, etc. and geoscience including the geohazards, rock and soil properties, etc. The book features state-of-the-art studies on use of SC,ML,DL and optimizations in Geoengineering and Geoscience.Considering these points and understanding, this book will be compiled with highly focussed chapters that will discuss the application of SC,ML,DL and optimizations in Geoengineering and Geoscience.Target audience: (1) Students of UG, PG, and Research Scholars: Several applications of SC,ML,DL and optimizations in Geoengineering and Geoscience can help students to enhance their knowledge in this domain. (2) Industry Personnel and Practitioner: Practitioners from different fields can be able to implement standard and advanced SC,ML,DL and optimizations for solvingcritical problems of civil engineering. N� de ref. del art�culo: 9789811668371

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