Prediction of geotechnical properties of treated fibrous peat by artificial neural networks-Reference-Cited by-同舟云学术

Prediction of geotechnical properties of treated fibrous peat by artificial neural networks

Published:2018-01-17 Issue:3 Volume:78 Page:1345-1358
ISSN:1435-9529
Container-title:Bulletin of Engineering Geology and the Environment
language:en
Short-container-title:Bull Eng Geol Environ

Author:

Dehghanbanadaki Ali,Sotoudeh Mohammad Ali,Golpazir Iman,Keshtkarbanaeemoghadam Azin,Ilbeigi Marjan

Publisher

Springer Science and Business Media LLC

Subject

Geology,Geotechnical Engineering and Engineering Geology

Link

http://link.springer.com/article/10.1007/s10064-017-1213-2/fulltext.html

Reference43 articles.

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2. American Society for Testing (1992) Materials Annual: Annual book of ASTM standards. Philadelphia, PA, USA, 04.08

3. ASTM D 2974 (2000) Standard test method for moisture, ash, and organic matter of peat and other organic soils. Book of ASTM standards. ASTM, Philadelphia

4. Axelsson K, Johansson SE, Andersson R (2002) Stabilization of organic soils by cement and puzzolanic reactions. Feasibility study. Linkoping (Sweden): 3rd Report of Swedish Deep Stabilization Research Centre

5. Baughman DR, Liu YA (2014) Neural networks in bioprocessing and chemical engineering. Academic press, San Diego

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