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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 국제구조공학회 Smart Structures and Systems, An International Journal Smart Structures and Systems, An International Journal Vol.22 No.4
- 발행연도
- 2018.1
- 수록면
- 413 - 424 (12page)
이용수
초록· 키워드
오류제보하기
The factors affecting the shear strength of the angle shear connectors in the steel-concrete composite beams can play an important role to estimate the efficacy of a composite beam. Therefore, the current study has aimed to verify the output of shear capacity of angle shear connector according to the input provided by Support Vector Machine (SVM) coupled with Firefly Algorithm (FFA). SVM parameters have been optimized through the use of FFA, while genetic programming (GP) and artificial neural networks (ANN) have been applied to estimate and predict the SVM-FFA models' results. Following these results, GP and ANN have been applied to develop the prediction accuracy and generalization capability of SVM-FFA. Therefore, SVM-FFA could be performed as a novel model with predictive strategy in the shear capacity estimation of angle shear connectors. According to the results, the Firefly algorithm has produced a generalized performance and be learnt faster than the conventional learning algorithms.
목차
등록된 정보가 없습니다.
참고문헌 (75)
참고문헌 신청
Andalib, Z / 2018 / Numerical evaluation of ductility and energy absorption of steel rings constructed from plates / Eng. Struct 169:94~106
Andalib, Z / 2014 / Experimental investigation of the ductility and performance of steel rings constructed from plates / J. Constr. Steel Res 103:77~88
Asefa, T / 2006 / Multi-time scale stream flow predictions : The support vector machines approach / J. Hydrol 318(1):7~16
Assareh, E / 2010 / Application of PSO (particle swarm optimization) and GA (genetic algorithm) techniques on demand estimation of oil in Iran / Energy 35(12):5223~5229
ASTM, C / 2004 / 39 (2004)“Standard test method for compressive strength of cylindrical concrete specimens / Annual Book of ASTM Standards
Andalib, Z / 2014 / Experimental investigation of the ductility and performance of steel rings constructed from plates / J. Constr. Steel Res 103:77~88
Asefa, T / 2006 / Multi-time scale stream flow predictions : The support vector machines approach / J. Hydrol 318(1):7~16
Assareh, E / 2010 / Application of PSO (particle swarm optimization) and GA (genetic algorithm) techniques on demand estimation of oil in Iran / Energy 35(12):5223~5229
ASTM, C / 2004 / 39 (2004)“Standard test method for compressive strength of cylindrical concrete specimens / Annual Book of ASTM Standards
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