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1
المؤلفون: Mohammad Ali Riahi, Majid Bagheri
المصدر: Journal of Earth Science. 28:703-708
مصطلحات موضوعية: Dissimilarity space, Seismic facies, business.industry, Feature vector, Pattern recognition, 02 engineering and technology, 010502 geochemistry & geophysics, 01 natural sciences, Correlation, Support vector machine, Facies, 0202 electrical engineering, electronic engineering, information engineering, General Earth and Planetary Sciences, 020201 artificial intelligence & image processing, Artificial intelligence, Seismic interpretation, business, Classifier (UML), Geology, 0105 earth and related environmental sciences
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_________::bac31daeaaf993ce977371259fba0e14Test
https://doi.org/10.1007/s12583-017-0797-6Test -
2
المؤلفون: Yan-Wei Zhu
المصدر: Journal of Computational Methods in Sciences and Engineering. 15:677-684
مصطلحات موضوعية: Seismic facies, business.industry, Computer science, Training time, General Engineering, Pattern recognition, Construct (python library), Machine learning, computer.software_genre, Computer Science Applications, Support vector machine, Computational Mathematics, Kernel (linear algebra), Feature (machine learning), Artificial intelligence, business, computer
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_________::644e00f32e2cf40efe4f1a74ec4c36b5Test
https://doi.org/10.3233/jcm-150582Test -
3
المؤلفون: Xiaohong Liu, Qiuna Zhang, Xiujuan Sun, Shufei Lin, Yanwei Zhu, Yongli Zhang
المصدر: Communications in Computer and Information Science ISBN: 9783642163388
ICICA (2)مصطلحات موضوعية: Seismic facies, Structured support vector machine, business.industry, Computer science, Improved method, Machine learning, computer.software_genre, Support vector machine, Relevance vector machine, Statistical classification, Artificial intelligence, Data mining, business, computer, Coding (social sciences)
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_________::42b150a01970a4b9130b7fd1c17172fdTest
https://doi.org/10.1007/978-3-642-16339-5_16Test