SUPPORT VECTOR REGRESSION WITH BAYESIAN PARAMETERS OPTIMIZATION FOR INCLINOMETER WELLS MEASUREMENTS REFINEMENT
Authors
A. Ryabov
Arzamas Polytechnic Institute (branch) of N. Novgorod State Technic University
Keywords:
wells inclinometry; support vector machine; data regression; Bayesian optimization.
Abstract
This paper propose a method of inclinometer wells measurements refinement via support vector regression with Bayesian parameters optimization. The results demonstrate that the given method-based algorithm is efficient for wells inclinometer measurements correction.
Author Biography
A. Ryabov , Arzamas Polytechnic Institute (branch) of N. Novgorod State Technic University
Smola, A.J., Schölkopf, B., 2004. A tutorial on support vector regression. Statistics and computing 14, 199–222.
Yeh, C.Y., Huang, C.W., Lee, S.J., 2011. A multiple-kernel support vector regression approach for stock market price forecasting. Expert Systems with Applications 38, 2177–2186.
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