电邮这篇文章 Product characteristics forecasting model with support vectore machines
- 作者: Kovalev I1, Y urkov NS2
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隶属关系:
- Siberian State Airspace University named after academician M. F. Reshetnev, Russia, Krasnoyarsk
- Siberian Federal University, Russia, Krasnoyarsk
- 期: 卷 10, 编号 5 (2009)
- 页面: 107-110
- 栏目: Articles
- ##submission.datePublished##: 19.12.2009
- URL: https://journals.eco-vector.com/2712-8970/article/view/508622
- ID: 508622
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详细
Numerical models with support vector machines are used for forecasting material's properties depending on their production parameters. The paper includes practical forecasting results.
作者简介
I Kovalev
Siberian State Airspace University named after academician M. F. Reshetnev, Russia, KrasnoyarskSiberian State Airspace University named after academician M. F. Reshetnev, Russia, Krasnoyarsk
N Y urkov
Siberian Federal University, Russia, KrasnoyarskSiberian Federal University, Russia, Krasnoyarsk
参考
- Yurkov, N. S. Application of support vector machines to multiple nonlinear regression problem (at the example of mechanical properties of aluminium alloys) / N. S. Yurkov // Control systems and information technologies. 2009. No 1.2 (35). P . 307-312.
- Gulyayev,A. P. Metallography /A. P. Gulyayev. 6th ed. M. : Metallurgiya, 1986. 544 p. (in Russian)
- DIN EN 515-1993.Aluminium and aluminium alloys; wrought products; temper designations; DIN-Mittei-lungen von 1996. Nr. 12. S. A 971 (Tabelle 4 , S. 11 2. Spalte gendert).
- Data analysis methods and models: OLAP and Data Mining/A.A.Barsegyan, M. S.Kupriyanov,V .V . Stepanenko, I. I. Kholod. SPb. : BHV-Peterburg, 2004. 336 p.
- Kecman, V. Support Vector Machine Basics. School of engineering report 616 / Vojislav Kecman. Auckland : The University ofAuckland, 2004. 54 p.
- Vapnik, V. N. Estimation of dependences based on empirical data / V. N. Vapnik. M. : Nauka, 1979. 499 p. (in Russian)
- Witten, Ian H. Data Mining: PracticalMachine Learning Tools and Techniques / Ian H. Witten, Eibe Frank. 2nd ed. San Francisco : Morgan Kaufmann Publishers, 2005. 525 p.
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