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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 한국계산역학회 Computers and Concrete, An International Journal Computers and Concrete, An International Journal Vol.19 No.6
- 발행연도
- 2017.1
- 수록면
- 651 - 658 (8page)
이용수
초록· 키워드
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High-performance concrete, besides aggregate, cement, and water, incorporates supplementary cementitious materials, such as fly ash and blast furnace slag, and chemical admixture, such as superplasticizer. Hence, it is a highly complex material and modeling its behavior represents a difficult task. This paper presents an evolutionary system for the prediction of high performance concrete strength. The proposed framework blends a recently developed version of genetic programming with a local search method. The resulting system enables us to build a model that produces an accurate estimation of the considered parameter. Experimental results show the suitability of the proposed system for the prediction of concrete strength. The proposed method produces a lower error with respect to the state-of-the art technique. The paper provides two contributions: from the point of view of the high performance concrete strength prediction, a system able to outperform existing state-of-the-art techniques is defined; from the machine learning perspective, this case study shows that including a local searcher in the geometric semantic genetic programming system can speed up the convergence of the search process.
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참고문헌 (40)
참고문헌 신청
Abrams, D. A. / 1927 / Water-cement ration as a basis of concrete quality / ACI Mater. J. 23(2):452~457
Aitcin, P. C. / 2003 / The durability characteristics of high performance concrete : review / Cement Concrete Compos. 25(4):409~420
Bhanja, S. / 2005 / Influence of silica fume on the tensile strength of concrete / Cement Concrete Res. 35(4):743~747
Castelli, A. / 2014 / C++framework for geometric semantic genetic programming / Gen. Program. Evol. Mach. 16(1):73~81
Castelli, M. / 2013 / An Efficient Implementation of Geometric Semantic Genetic Programming for Anticoagulation Level Prediction in Pharmacogenetics / Progress in Artificial Intelligence :78~89
Aitcin, P. C. / 2003 / The durability characteristics of high performance concrete : review / Cement Concrete Compos. 25(4):409~420
Bhanja, S. / 2005 / Influence of silica fume on the tensile strength of concrete / Cement Concrete Res. 35(4):743~747
Castelli, A. / 2014 / C++framework for geometric semantic genetic programming / Gen. Program. Evol. Mach. 16(1):73~81
Castelli, M. / 2013 / An Efficient Implementation of Geometric Semantic Genetic Programming for Anticoagulation Level Prediction in Pharmacogenetics / Progress in Artificial Intelligence :78~89
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