Performance evaluation of multiple adaptive regression splines, teaching–learning based optimization and conventional regression techniques in predicting mechanical properties of impregnated wood-Reference-Cited by-同舟云学术

Performance evaluation of multiple adaptive regression splines, teaching–learning based optimization and conventional regression techniques in predicting mechanical properties of impregnated wood

Published:2019-05-02 Issue:4 Volume:77 Page:645-659
ISSN:0018-3768
Container-title:European Journal of Wood and Wood Products
language:en
Short-container-title:Eur. J. Wood Prod.

Author:

Tiryaki Sebahattin,Tan Hüseyin,Bardak Selahattin,Kankal Murat,Nacar Sinan,Peker Hüseyin

Publisher

Springer Science and Business Media LLC

Subject

General Materials Science,Forestry

Link

http://link.springer.com/content/pdf/10.1007/s00107-019-01416-9.pdf

Reference50 articles.

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4. Bayram A, Uzlu E, Kankal M, Dede T (2015) Modeling stream dissolved oxygen concentration using teaching–learning based optimization algorithm. Environ Earth Sci 73:6565–6576

5. Baysal E, Yalinkilic MK (2005) A new boron impregnation technique of wood by vapor boron of boric acid to reduce leaching boron from wood. Wood Sci Technol 39:187–198

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