استفاده از شبکه عصبی مرکب (Committee Machine) نظارت شده جهت بهبود الگوریتم شبکه های عصبی در تخمین تراوایی مخازن نفتی
Reservoir permeability is a critical parameter for the evaluation of hydrocarbon reservoirs. There are a lot of well log data related with this parameter. In this study, permeability is predicted using them and a supervised committee machine neural network (SCMNN) which is combined of 30 estimators....
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Iranian Society of Mining Engineering
2010-12-01
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| Series: | نشریه مهندسی معدن |
| Subjects: | |
| Online Access: | https://ijme.iranjournals.ir/article_1501_b3c5f44ce8b437c40737df04588cce6b.pdf |