为预测高流速条件下的流型并建立流型图,提出一种基于人工鱼群算法(artificial fish swarm algorithm,AFSA)优化的随机森林(random forest,RF)的机器学习模型,基于最优、简化参数出发,进行流型的智能识别。该模型成功地应用于竖直下降...为预测高流速条件下的流型并建立流型图,提出一种基于人工鱼群算法(artificial fish swarm algorithm,AFSA)优化的随机森林(random forest,RF)的机器学习模型,基于最优、简化参数出发,进行流型的智能识别。该模型成功地应用于竖直下降两相流流型的识别,通过不同分类模型以及优化方法对实验数据进行计算,发现AFSA-RF模型的流型识别精度与稳定性高于未优化的RF模型以及其他主流优化方法,对高流速区域的流型的识别成功率达到了90.91%,进一步验证了该预测模型的有效性。依托建立的模型,对现有流型图的适应范围进行了扩展,获得了适用于高流速条件下的流型图。展开更多
This paper describes the model speed and model In/Out （I/O） efficiency of the high-resolution atmospheric general circulation model FAMIL （Finite- volume Atmospheric Model of IAP/LASG） at the National Supercompute...This paper describes the model speed and model In/Out （I/O） efficiency of the high-resolution atmospheric general circulation model FAMIL （Finite- volume Atmospheric Model of IAP/LASG） at the National Supercomputer Center in Tianjin, China, on its Tianhe-lA supercomputer platform. A series of three- model-day simulations were carried out with standard Aqua Planet Experiment （APE） designed within FAMIL to obtain the time stamp for the calculation of model speed, simulation cost, and model 1/O efficiency. The results of the simulation demonstrate that FAMIL has remarkable scalability below 3456 and 6144 cores, and the lowest simulation costs are 1536 and 3456 cores for 12.5 km and 6.25 krn resolutions, respectively. Furthermore, FAMIL has excellent I/O scalability and an efficiency of more than 80% on 6 I/Os and more than 99% on 1536 I/Os.展开更多
Two kinds of higher-dimensional Lie algebras and their loop algebras are introduced, for which a few expanding integrable models including the coupling integrable couplings of the Broer-Kaup （BK） hierarchy and the d...Two kinds of higher-dimensional Lie algebras and their loop algebras are introduced, for which a few expanding integrable models including the coupling integrable couplings of the Broer-Kaup （BK） hierarchy and the dispersive long wave （DLW） hierarchy as well as the TB hierarchy are obtained. From the reductions of the coupling integrable couplings, the corresponding coupled integrable couplings of the BK equation, the DLW equation, and the TB equation are obtained, respectively. Especiaily, the coupling integrable coupling of the TB equation reduces to a few integrable couplings of the well-known mKdV equation. The Hamiltonian structures of the coupling integrable couplings of the three kinds of soliton hierarchies are worked out, respectively, by employing the variationai identity. Finally, we decompose the BK hierarchy of evolution equations into x-constrained flows and tn-eonstrained flows whose adjoint representations and the Lax pairs are given.展开更多
文摘为预测高流速条件下的流型并建立流型图,提出一种基于人工鱼群算法(artificial fish swarm algorithm,AFSA)优化的随机森林(random forest,RF)的机器学习模型,基于最优、简化参数出发,进行流型的智能识别。该模型成功地应用于竖直下降两相流流型的识别,通过不同分类模型以及优化方法对实验数据进行计算,发现AFSA-RF模型的流型识别精度与稳定性高于未优化的RF模型以及其他主流优化方法,对高流速区域的流型的识别成功率达到了90.91%,进一步验证了该预测模型的有效性。依托建立的模型,对现有流型图的适应范围进行了扩展,获得了适用于高流速条件下的流型图。
基金supported by the Strategic Priority Research Program of the Chinese Academy of Sciences (Grant No. XDA05110303)the National Basic Research Program of China (973Program, Grant Nos. 2012CB417203 and 2010CB950404)+1 种基金the National High Technology Research and Development Program of China (863 Program, Grant No. 2010AA012305)the National Natural Science Foundation of China (Grant No. 41023002)
文摘This paper describes the model speed and model In/Out （I/O） efficiency of the high-resolution atmospheric general circulation model FAMIL （Finite- volume Atmospheric Model of IAP/LASG） at the National Supercomputer Center in Tianjin, China, on its Tianhe-lA supercomputer platform. A series of three- model-day simulations were carried out with standard Aqua Planet Experiment （APE） designed within FAMIL to obtain the time stamp for the calculation of model speed, simulation cost, and model 1/O efficiency. The results of the simulation demonstrate that FAMIL has remarkable scalability below 3456 and 6144 cores, and the lowest simulation costs are 1536 and 3456 cores for 12.5 km and 6.25 krn resolutions, respectively. Furthermore, FAMIL has excellent I/O scalability and an efficiency of more than 80% on 6 I/Os and more than 99% on 1536 I/Os.
基金Supported by the National Science Foundation of China under Grant No.10971031the Natural Science Foundation of Shandong Province under Grant No.ZR2009AL021
文摘Two kinds of higher-dimensional Lie algebras and their loop algebras are introduced, for which a few expanding integrable models including the coupling integrable couplings of the Broer-Kaup （BK） hierarchy and the dispersive long wave （DLW） hierarchy as well as the TB hierarchy are obtained. From the reductions of the coupling integrable couplings, the corresponding coupled integrable couplings of the BK equation, the DLW equation, and the TB equation are obtained, respectively. Especiaily, the coupling integrable coupling of the TB equation reduces to a few integrable couplings of the well-known mKdV equation. The Hamiltonian structures of the coupling integrable couplings of the three kinds of soliton hierarchies are worked out, respectively, by employing the variationai identity. Finally, we decompose the BK hierarchy of evolution equations into x-constrained flows and tn-eonstrained flows whose adjoint representations and the Lax pairs are given.
