Reduction of computational error by optimizing SVR kernel coefficients to simulate concrete compressive strength through the use of a human learning optimization algorithm-Reference-Cited by-同舟云学术

Reduction of computational error by optimizing SVR kernel coefficients to simulate concrete compressive strength through the use of a human learning optimization algorithm

Published:2021-02-24 Issue: Volume: Page:
ISSN:0177-0667
Container-title:Engineering with Computers
language:en
Short-container-title:Engineering with Computers

Author:

Huang Jiandong,Sun Yuantian,Zhang Junfei^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,General Engineering,Modelling and Simulation,Software

Link

http://link.springer.com/content/pdf/10.1007/s00366-021-01305-x.pdf

Reference58 articles.

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3. Lam L, Wong YL, Poon CS (1998) Effect of fly ash and silica fume on compressive and fracture behaviors of concrete. Cem Concr Res 28:271–283

4. Babu KG, Rao GSN (1994) Early strength behaviour of fly ash concretes. Cem Concr Res 24:277–284

5. Sabir BB (1997) Mechanical properties and frost resistance of silica fume concrete. Cem Concr Compos 19:285–294

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