application neural networks earth de krasnopolsky vladimir (27 résultats)

Etat : New.

Etat : New.

Etat : New.

Etat : New. pp. 189.

Etat : New.

Etat : New. pp. 212.

Hardcover. Etat : Brand New. 2013 edition. 290 pages. 9.25x6.25x0.75 inches. In Stock.

Taschenbuch. Etat : Neu. The Application of Neural Networks in the Earth System Sciences | Neural Networks Emulations for Complex Multidimensional Mappings | Vladimir M. Krasnopolsky | Taschenbuch | xvii | Englisch | 2015 | Springer Netherland | EAN 9789401784658 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Buch. Etat : Neu. Neuware -This book brings together a representative set of Earth System Science (ESS) applications of the neural network (NN) technique. It examines a progression of atmospheric and oceanic problems, which, from the mathematical point of view, can be formulated as complex, multidimensional, and nonlinear mappings. It is shown that these problems can be solved utilizing a particular type of NN ¿ the multilayer perceptron (MLP). This type of NN applications covers the majority of NN applications developed in ESSs such as meteorology, oceanography, atmospheric and oceanic satellite remote sensing, numerical weather prediction, and climate studies. The major properties of the mappings and MLP NNs are formulated and discussed. Also, the book presents basic background for each introduced application and provides an extensive set of references.¿This is an excellent book to learn how to apply artificial neural network methods to earth system sciences. The author, Dr. Vladimir Krasnopolsky, is a universally recognized master in this field. With his vast knowledge and experience, he carefully guides the reader through a broad variety of problems found in the earth system sciences where neural network methods can be applied fruitfully. (.) The broad range of topics covered in this book ensures that researchers/graduate students from many fields (.) will find it an invaluable guide to neural network methods.¿ (Prof. William W. Hsieh, University of British Columbia, Vancouver, Canada)¿Vladimir Krasnopolsky has been the ¿founding father¿ of applying computation intelligence methods to environmental science; (.) Dr. Krasnopolsky has created a masterful exposition of a young, yet maturing field that promises to advance a deeper understanding ofbest modeling practices in environmental science.¿ (Dr. Sue Ellen Haupt, National Center for Atmospheric Research, Boulder, USA)¿Vladimir Krasnopolsky has written an important and wonderful book on applications of neural networks to replace complex and expensive computational algorithms within Earth System Science models. He is uniquely qualified to write this book, since he has been a true pioneer with regard to many of these applications. (.) Many other examples of creative emulations will inspire not just readers interested in the Earth Sciences, but any other modeling practitioner (.) to address both theoretical and practical complex problems that may (or will!) arise in a complex system.' ¿ (Prof. Eugenia Kalnay, University of Maryland, USA)Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 212 pp. Englisch.

Taschenbuch. Etat : Neu. Neuware -This book brings together a representative set of Earth System Science (ESS) applications of the neural network (NN) technique. It examines a progression of atmospheric and oceanic problems, which, from the mathematical point of view, can be formulated as complex, multidimensional, and nonlinear mappings. It is shown that these problems can be solved utilizing a particular type of NN ¿ the multilayer perceptron (MLP). This type of NN applications covers the majority of NN applications developed in ESSs such as meteorology, oceanography, atmospheric and oceanic satellite remote sensing, numerical weather prediction, and climate studies. The major properties of the mappings and MLP NNs are formulated and discussed. Also, the book presents basic background for each introduced application and provides an extensive set of references.¿This is an excellent book to learn how to apply artificial neural network methods to earth system sciences. The author, Dr. Vladimir Krasnopolsky, is a universally recognized master in this field. With his vast knowledge and experience, he carefully guides the reader through a broad variety of problems found in the earth system sciences where neural network methods can be applied fruitfully. (.) The broad range of topics covered in this book ensures that researchers/graduate students from many fields (.) will find it an invaluable guide to neural network methods.¿ (Prof. William W. Hsieh, University of British Columbia, Vancouver, Canada)¿Vladimir Krasnopolsky has been the ¿founding father¿ of applying computation intelligence methods to environmental science; (.) Dr. Krasnopolsky has created a masterful exposition of a young, yet maturing field that promises to advance a deeper understanding ofbest modeling practices in environmental science.¿ (Dr. Sue Ellen Haupt, National Center for Atmospheric Research, Boulder, USA)¿Vladimir Krasnopolsky has written an important and wonderful book on applications of neural networks to replace complex and expensive computational algorithms within Earth System Science models. He is uniquely qualified to write this book, since he has been a true pioneer with regard to many of these applications. (.) Many other examples of creative emulations will inspire not just readers interested in the Earth Sciences, but any other modeling practitioner (.) to address both theoretical and practical complex problems that may (or will!) arise in a complex system.' ¿ (Prof. Eugenia Kalnay, University of Maryland, USA)Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 212 pp. Englisch.

Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This book brings together a representative set of Earth System Science (ESS) applications of the neural network (NN) technique. It examines a progression of atmospheric and oceanic problems, which, from the mathematical point of view, can be formulated as complex, multidimensional, and nonlinear mappings. It is shown that these problems can be solved utilizing a particular type of NN - the multilayer perceptron (MLP). This type of NN applications covers the majority of NN applications developed in ESSs such as meteorology, oceanography, atmospheric and oceanic satellite remote sensing, numerical weather prediction, and climate studies. The major properties of the mappings and MLP NNs are formulated and discussed. Also, the book presents basic background for each introduced application and provides an extensive set of references. 'This is an excellent book to learn how to apply artificial neural network methods to earth system sciences. The author, Dr. Vladimir Krasnopolsky, is a universally recognized master in this field. With his vast knowledge and experience, he carefully guides the reader through a broad variety of problems found in the earth system sciences where neural network methods can be applied fruitfully. (.) The broad range of topics covered in this book ensures that researchers/graduate students from many fields (.) will find it an invaluable guide to neural network methods.' (Prof. William W. Hsieh, University of British Columbia, Vancouver, Canada) 'Vladimir Krasnopolsky has been the 'founding father' of applying computation intelligence methods to environmental science; (.) Dr. Krasnopolsky has created a masterful exposition of a young, yet maturing field that promises to advance a deeper understanding ofbest modeling practices in environmental science.' (Dr. Sue Ellen Haupt, National Center for Atmospheric Research, Boulder, USA) 'Vladimir Krasnopolsky has written an important and wonderful book on applications of neural networks to replace complex and expensive computational algorithms within Earth System Science models. He is uniquely qualified to write this book, since he has been a true pioneer with regard to many of these applications. (.) Many other examples of creative emulations will inspire not just readers interested in the Earth Sciences, but any other modeling practitioner (.) to address both theoretical and practical complex problems that may (or will!) arise in a complex system.' ' (Prof. Eugenia Kalnay, University of Maryland, USA).

Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This book brings together a representative set of Earth System Science (ESS) applications of the neural network (NN) technique. It examines a progression of atmospheric and oceanic problems, which, from the mathematical point of view, can be formulated as complex, multidimensional, and nonlinear mappings. It is shown that these problems can be solved utilizing a particular type of NN - the multilayer perceptron (MLP). This type of NN applications covers the majority of NN applications developed in ESSs such as meteorology, oceanography, atmospheric and oceanic satellite remote sensing, numerical weather prediction, and climate studies. The major properties of the mappings and MLP NNs are formulated and discussed. Also, the book presents basic background for each introduced application and provides an extensive set of references. 'This is an excellent book to learn how to apply artificial neural network methods to earth system sciences. The author, Dr. Vladimir Krasnopolsky, is a universally recognized master in this field. With his vast knowledge and experience, he carefully guides the reader through a broad variety of problems found in the earth system sciences where neural network methods can be applied fruitfully. (.) The broad range of topics covered in this book ensures that researchers/graduate students from many fields (.) will find it an invaluable guide to neural network methods.' (Prof. William W. Hsieh, University of British Columbia, Vancouver, Canada) 'Vladimir Krasnopolsky has been the 'founding father' of applying computation intelligence methods to environmental science; (.) Dr. Krasnopolsky has created a masterful exposition of a young, yet maturing field that promises to advance a deeper understanding ofbest modeling practices in environmental science.' (Dr. Sue Ellen Haupt, National Center for Atmospheric Research, Boulder, USA) 'Vladimir Krasnopolsky has written an important and wonderful book on applications of neural networks to replace complex and expensive computational algorithms within Earth System Science models. He is uniquely qualified to write this book, since he has been a true pioneer with regard to many of these applications. (.) Many other examples of creative emulations will inspire not just readers interested in the Earth Sciences, but any other modeling practitioner (.) to address both theoretical and practical complex problems that may (or will!) arise in a complex system.' ' (Prof. Eugenia Kalnay, University of Maryland, USA).

Paperback. Etat : Brand New. 212 pages. 9.25x6.10x0.48 inches. In Stock.

Etat : Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.

Hardcover. Etat : Like New. Like New. book.

Etat : As New. Unread book in perfect condition.

Paperback. Etat : Like New. Like New. book.

Etat : As New. Unread book in perfect condition.

Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book brings together a representative set of Earth System Science (ESS) applications of the neural network (NN) technique. It examines a progression of atmospheric and oceanic problems, which, from the mathematical point of view, can be formulated as complex, multidimensional, and nonlinear mappings. It is shown that these problems can be solved utilizing a particular type of NN - the multilayer perceptron (MLP). This type of NN applications covers the majority of NN applications developed in ESSs such as meteorology, oceanography, atmospheric and oceanic satellite remote sensing, numerical weather prediction, and climate studies. The major properties of the mappings and MLP NNs are formulated and discussed. Also, the book presents basic background for each introduced application and provides an extensive set of references. 'This is an excellent book to learn how to apply artificial neural network methods to earth system sciences. The author, Dr. Vladimir Krasnopolsky, is a universally recognized master in this field. With his vast knowledge and experience, he carefully guides the reader through a broad variety of problems found in the earth system sciences where neural network methods can be applied fruitfully. (.) The broad range of topics covered in this book ensures that researchers/graduate students from many fields (.) will find it an invaluable guide to neural network methods.' (Prof. William W. Hsieh, University of British Columbia, Vancouver, Canada) 'Vladimir Krasnopolsky has been the 'founding father' of applying computation intelligence methods to environmental science; (.) Dr. Krasnopolsky has created a masterful exposition of a young, yet maturing field that promises to advance a deeper understanding of best modeling practices in environmental science.' (Dr. Sue Ellen Haupt, National Center for Atmospheric Research, Boulder, USA) 'Vladimir Krasnopolsky has written an important and wonderful book on applications of neural networks to replace complex and expensive computational algorithms within Earth System Science models. He is uniquely qualified to write this book, since he has been a true pioneer with regard to many of these applications. (.) Many other examples of creative emulations will inspire not just readers interested in the Earth Sciences, but any other modeling practitioner (.) to address both theoretical and practical complex problems that may (or will!) arise in a complex system.' ' (Prof. Eugenia Kalnay, University of Maryland, USA) 212 pp. Englisch.

Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book brings together a representative set of Earth System Science (ESS) applications of the neural network (NN) technique. It examines a progression of atmospheric and oceanic problems, which, from the mathematical point of view, can be formulated as complex, multidimensional, and nonlinear mappings. It is shown that these problems can be solved utilizing a particular type of NN - the multilayer perceptron (MLP). This type of NN applications covers the majority of NN applications developed in ESSs such as meteorology, oceanography, atmospheric and oceanic satellite remote sensing, numerical weather prediction, and climate studies. The major properties of the mappings and MLP NNs are formulated and discussed. Also, the book presents basic background for each introduced application and provides an extensive set of references. 'This is an excellent book to learn how to apply artificial neural network methods to earth system sciences. The author, Dr. Vladimir Krasnopolsky, is a universally recognized master in this field. With his vast knowledge and experience, he carefully guides the reader through a broad variety of problems found in the earth system sciences where neural network methods can be applied fruitfully. (.) The broad range of topics covered in this book ensures that researchers/graduate students from many fields (.) will find it an invaluable guide to neural network methods.' (Prof. William W. Hsieh, University of British Columbia, Vancouver, Canada) 'Vladimir Krasnopolsky has been the 'founding father' of applying computation intelligence methods to environmental science; (.) Dr. Krasnopolsky has created a masterful exposition of a young, yet maturing field that promises to advance a deeper understanding of best modeling practices in environmental science.' (Dr. Sue Ellen Haupt, National Center for Atmospheric Research, Boulder, USA) 'Vladimir Krasnopolsky has written an important and wonderful book on applications of neural networks to replace complex and expensive computational algorithms within Earth System Science models. He is uniquely qualified to write this book, since he has been a true pioneer with regard to many of these applications. (.) Many other examples of creative emulations will inspire not just readers interested in the Earth Sciences, but any other modeling practitioner (.) to address both theoretical and practical complex problems that may (or will!) arise in a complex system.' ' (Prof. Eugenia Kalnay, University of Maryland, USA) 212 pp. Englisch.

Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The book provides a unifying systematic approach to these types of problems, considering them as nonlinear multidimensional mappings that can be emulated by NNs The book introduces a basic mathematical concept of complex nonlinear mapping and off.

Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The book provides a unifying systematic approach to these types of problems, considering them as nonlinear multidimensional mappings that can be emulated by NNs The book introduces a basic mathematical concept of complex nonlinear mapping and off.

Etat : New. Print on Demand pp. 189.

Etat : New. PRINT ON DEMAND pp. 189.

Etat : New. Print on Demand pp. 212.

Etat : New. PRINT ON DEMAND pp. 212.

Buch. Etat : Neu. The Application of Neural Networks in the Earth System Sciences | Neural Networks Emulations for Complex Multidimensional Mappings | Vladimir M. Krasnopolsky | Buch | xvii | Englisch | 2013 | Springer | EAN 9789400760721 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.