| 书目名称 | Geophysical Applications of Artificial Neural Networks and Fuzzy Logic | | 编辑 | William A. Sandham,Miles Leggett | | 视频video | | | 丛书名称 | Modern Approaches in Geophysics | | 图书封面 |  | | 描述 | The past fifteen years has witnessed an explosive growth in the fundamental research and applications of artificial neural networks (ANNs) and fuzzy logic (FL). The main impetus behind this growth has been the ability of such methods to offer solutions not amenable to conventional techniques, particularly in application domains involving pattern recognition, prediction and control. Although the origins of ANNs and FL may be traced back to the 1940s and 1960s, respectively, the most rapid progress has only been achieved in the last fifteen years. This has been due to significant theoretical advances in our understanding of ANNs and FL, complemented by major technological developments in high-speed computing. In geophysics, ANNs and FL have enjoyed significant success and are now employed routinely in the following areas (amongst others): 1. Exploration Seismology. (a) Seismic data processing (trace editing; first break picking; deconvolution and multiple suppression; wavelet estimation; velocity analysis; noise identification/reduction; statics analysis; dataset matching/prediction, attenuation), (b) AVO analysis, (c) Chimneys, (d) Compression I dimensionality reduction, (e) Shear-w | | 出版日期 | Book 2003 | | 关键词 | Fuzzy; Information; Map; Reservoir; artificial intelligence; classification; fuzzy logic; geophysics; intell | | 版次 | 1 | | doi | https://doi.org/10.1007/978-94-017-0271-3 | | isbn_softcover | 978-90-481-6476-9 | | isbn_ebook | 978-94-017-0271-3Series ISSN 0924-6096 | | issn_series | 0924-6096 | | copyright | Springer Science+Business Media Dordrecht 2003 |
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发表于 2025-3-21 16:56:47
