Includes bibliographical references (p. 123-129) and index.
|Series||Series in machine perception and artificial intelligence ;, v. 46|
|LC Classifications||TN271.P4 H88 2002|
|The Physical Object|
|Pagination||xiv, 133 p. :|
|Number of Pages||133|
|LC Control Number||2002514235|
Get this from a library! Syntactic pattern recognition for seismic oil exploration. [Kou-Yuan Huang] -- The use of pattern recognition has become more and more important in seismic oil exploration. Interpreting a large volume of seismic data is a challenging problem. Seismic reflection data in the. Ebook Download Syntactic Pattern Recognition for Seismic Oil Exploration, by Kou-Yuan Huang. When getting this publication Syntactic Pattern Recognition For Seismic Oil Exploration, By Kou-Yuan Huang as reference to check out, you can get not simply motivation yet additionally new knowledge as well as lessons. It has even more compared to common benefits to take. Syntactic pattern recognition for seismic oil exploration [electronic resource] / Kou-Yuan Huang. Main author: Huang, Kou-Yuan. Corporate Author: Ebook Central Academic Complete., ProQuest (Firm) Format: eBook Online access: Connect to electronic book via Ebook Central. The theories of syntactic pattern recognition and its applications in geophysical intelligent interpretation systems are described in this text for geophysicists, computer scientists, and electrical include the theory of formal languages and parsing methods, syntactic pattern recognition techniques applied to 1-D seismic traces in order to classify Ricker wavelets, methods.
Decision-theoretic and syntactic pattern recognition techniques are employed to detect the physical P., , Some application of pattern recognition to oil and gas exploration: Inst. Electr. Electron. Eng., Trans. Geosci. Remote Sensing, GE, () Pattern Recognition to Seismic Exploration. In: Palaz I., Sengupta S.K. (eds Author: Kou-Yuan Huang. ♥ Book Title: Advances in Structural and Syntactical Pattern Recognition ♣ Name Author: Germany) International Workshop on Structural and Syntactic Pattern Recognition (6th: Leipzig ∞ Launching: Info ISBN Link: ⊗ Detail ISBN code: ⊕ Number Pages: Total sheet ♮ News id: bO9Qi_o0IC Download File Start Reading. Checking out book Syntactic Pattern Recognition For Seismic Oil Exploration, By Kou-Yuan Huang, nowadays, will not compel you to constantly purchase in the shop off-line. There is a terrific area to purchase guide Syntactic Pattern Recognition For Seismic Oil . Syntactic Pattern Recognition for Seismic Oil Exploration. DESCRIPCIÓN DEL TEXTO The use of pattern recognition has become more and more important in seismic oil exploration. Interpreting a large volume of seismic data is a challenging problem.
Presents the latest research findings in theory, techniques, algorithms, and major applications of pattern recognition and computer vision, as well as new hardware and architecture aspects. Contains sections on basic methods in pattern recognition and computer vision, nine recognition applications, inspection and robotic applications, and architectures and technology. Volume Hybrid Methods in Pattern Recognition. Edited By: H Bunke (University of Bern, Switzerland) and ; A Kandel (University of South Florida, USA) Volume Syntactic Pattern Recognition for Seismic Oil Exploration. By (author): Kou-Yuan Huang (National Chiao Tung University, Taiwan) Volume Hidden Markov Models: Applications in Computer. Pattern recognition [12, 13] has been perhaps, the first approach to automate certain tasks of geophysical interpretation (e.g. horizon picking, remote correlation, recognition of the nature and boundaries of . El-Hawary F. () Pattern Recognition for Marine Seismic Exploration. In: Palaz I., Sengupta S.K. (eds) Automated Pattern Analysis in Petroleum Exploration. Springer, New York, NYAuthor: Ferial El-Hawary.