首页|Research from Universitas Jenderal Soedirman in the Area of Support Vector Machi nes Described [Comparison Of Facies Estimation Using Support Vector Machine (SVM) And K-Nearest Neighbor (KNN) Algorithm Based On Well Log Da ta]
Research from Universitas Jenderal Soedirman in the Area of Support Vector Machi nes Described [Comparison Of Facies Estimation Using Support Vector Machine (SVM) And K-Nearest Neighbor (KNN) Algorithm Based On Well Log Da ta]
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Investigators discuss new findings in . According to news reporting out of Purwokerto, Indonesia, by NewsRx editors, research sta ted, “Facies classification is the process of identifying rock lithology based o n indirect measurements such as well log measurements.” The news journalists obtained a quote from the research from Universitas Jendera l Soedirman: “The facies classified manually by experienced geologists, so it ta kes a long time and is less efficient. Machine learning applications in facies c lassification can increase the effectiveness and efficiency of geophysical inter pretation on complex data. The purpose of this study is to examine the applicati on of machine learning algorithms SVM and KNN in facies estimation.”
Universitas Jenderal SoedirmanPurwoker toIndonesiaAsiaAlgorithmsCyborgsEmerging TechnologiesK-nearest Neigh borMachine LearningSupport Vector MachinesVector Machines
NETL
NSTL
