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Geophysical Applications of Artificial Neural Networks and Fuzzy Logic, Aminzadeh Fred, Sandham W., Leggett M.



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Цена: 18167р.
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Автор: Aminzadeh Fred, Sandham W., Leggett M.
Название:  Geophysical Applications of Artificial Neural Networks and Fuzzy Logic
Перевод названия: Фред Аминзаде, У. Сэндхем, М. Леггетт: Геофизические приложения искусственных нейросетей и нечеткой
ISBN: 9781402017292
Издательство: Springer
Классификация:
ISBN-10: 1402017294
Обложка/Формат: Hardback
Страницы: 348
Вес: 0.772 кг.
Дата издания: 2004
Серия: Modern Approaches in Geophysics
Язык: English
Издание: 2004
Иллюстрации: 155 black & white illustrations
Размер: 25.10 x 15.70 x 1.12
Читательская аудитория: Professional & vocational
Ссылка на Издательство: Link
Рейтинг:
Поставляется из: Германии
Описание: This book is the first major text to encompass the wide diversity of geophysical applications of artificial neural networks (ANNs) and fuzzy logic (FZ). Each chapter, written by internationally-renowned experts in their field, represents a specific geophysical application, ranging from first-break picking and trace editing encountered in seismic exploration, through well-log lithology determination, to electromagnetic exploration and earthquake seismology. The book offers a well-balanced division of contributions from industry and academia, and includes a comprehensive, up-to-date bibliography covering all major publications in geophysical applications of ANNs and FZ. A special feature of this volume is the preface written by Professor Fred Aminzadeh, eminent authority in the field of artificial intelligence and geophysics. The enclosed CD-ROM contains full colour figures and searchable files, as well as short biographies of the editors.
Дополнительное описание: Формат: 240x160
Круг читателей: Professional geophysicists, engineersm, research students
Ключевые слова:
Язык: eng





      Старое издание
Geophysical Applications of Artificial Neural Networks and Fuzzy Logic

Автор: W. Sandham; Fred Aminzadeh; M. Leggett
Название: Geophysical Applications of Artificial Neural Networks and Fuzzy Logic
ISBN: 9048164761 ISBN-13(EAN): 9789048164769
Издательство: Springer
Цена: 18167 р.
Наличие на складе: Есть у поставщикаПоставка под заказ.
Описание: The past fifteen years has witnessed an explosive growth in the fundamental research and applications of artificial neural networks (ANNs) and fuzzy logic (FL). dataset matching/prediction, attenuation), (b) AVO analysis, (c) Chimneys, (d) Compression I dimensionality reduction, (e) Shear-wave analysis, (f) Interpretation (event tracking;


Global Optimization Methods in Geophysical Inversion

Автор: Sen
Название: Global Optimization Methods in Geophysical Inversion
ISBN: 1107011906 ISBN-13(EAN): 9781107011908
Издательство: Cambridge Academ
Рейтинг:
Цена: 11421 р. 16315.00 -30%
Наличие на складе: Есть (1 шт.)
Описание: This up-to-date new edition provides an overview of global optimization methods, and includes succinct descriptions of background theory, advanced concepts and examples of geophysical inversion, enabling readers to formulate their own applications. A valuable resource for researchers, graduate students and professionals in geophysics, inverse theory, exploration geoscience and engineering.

Geophysical Inverse Theory and Regularization Problems,36

Автор: Michael S. Zhdanov
Название: Geophysical Inverse Theory and Regularization Problems,36
ISBN: 0444626743 ISBN-13(EAN): 9780444626745
Издательство: Elsevier Science
Рейтинг:
Цена: 31849 р.
Наличие на складе: Поставка под заказ.

Описание: Geophysical Inverse Theory and Applications, Second Edition, brings together fundamental results developed by the Russian mathematical school in regularization theory and combines them with the related research in geophysical inversion carried out in the West. It presents a detailed exposition of the methods of regularized solution of inverse problems based on the ideas of Tikhonov regularization, and shows the different forms of their applications in both linear and nonlinear methods of geophysical inversion. It’s the first book of its kind to treat many kinds of inversion and imaging techniques in a unified mathematical manner. . The book is divided in five parts covering the foundations of the inversion theory and its applications to the solution of different geophysical inverse problems, including potential field, electromagnetic, and seismic methods. Unique in its focus on providing a link between the methods used in gravity, electromagnetic, and seismic imaging and inversion, it represents an exhaustive treatise on inversion theory. Written by one of the world’s foremost experts, this work is widely recognized as the ultimate researcher’s reference on geophysical inverse theory and its practical scientific applications.

Intro. to Geophysical Exploration

Автор: Philip Kearey, Michael Brooks, Ian Hill
Название: Intro. to Geophysical Exploration
ISBN: 0632049294 ISBN-13(EAN): 9780632049295
Издательство: Wiley
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Цена: 9179 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This new edition of the well-established Kearey and Brooks text is fully updated to reflect the important developments in geophysical methods since the production of the previous edition. The broad scope of previous editions is maintained, with even greater clarity of explanations from the revised text and extensively revised figures.

Geophysical Data Analysis: Discrete Inverse Theory,45

Автор: Menke, William
Название: Geophysical Data Analysis: Discrete Inverse Theory,45
ISBN: 0128100486 ISBN-13(EAN): 9780128100486
Издательство: Elsevier Science
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Цена: 10104 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Since 1984, Geophysical Data Analysis has filled the need for a short, concise reference on inverse theory for individuals who have an intermediate background in science and mathematics. The new edition maintains the accessible and succinct manner for which it is known, with the addition of:. . . . MATLAB examples and problem sets. Advanced color graphics. Coverage of new topics, including Adjoint Methods; Inversion by Steepest Descent, Monte Carlo and Simulated Annealing methods; and Bootstrap algorithm for determining empirical confidence intervals


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