Geophysical Applications of Artificial Neural Networks and Fuzzy Logic, Aminzadeh Fred, Sandham W., Leggett M.
Старое издание
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: 18167.00 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;
Автор: Sen Название: Global Optimization Methods in Geophysical Inversion ISBN: 1107011906 ISBN-13(EAN): 9781107011908 Издательство: Cambridge Academ Рейтинг: Цена: 14525.00 р. 20750.00-30% 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.
Автор: Philip Kearey, Michael Brooks, Ian Hill Название: Intro. to Geophysical Exploration ISBN: 0632049294 ISBN-13(EAN): 9780632049295 Издательство: Wiley Рейтинг: Цена: 9179.00 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.
Автор: Michael S. Zhdanov Название: Geophysical Inverse Theory and Regularization Problems,36 ISBN: 0444626743 ISBN-13(EAN): 9780444626745 Издательство: Elsevier Science Рейтинг: Цена: 35034.00 р. Наличие на складе: Нет в наличии.
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.
Автор: Menke, William Название: Geophysical Data Analysis: Discrete Inverse Theory,45 ISBN: 0128100486 ISBN-13(EAN): 9780128100486 Издательство: Elsevier Science Рейтинг: Цена: 11115.00 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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