Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Yisong Zhou"'
Publikováno v:
Advances in Civil Engineering, Vol 2022 (2022)
Support vector regression (SVR) has been applied to the prediction of mechanical properties of concrete, but the selection of its hyperparameters has been a key factor affecting the prediction accuracy. To this end, hybrid machine learning combines t
Externí odkaz:
https://doaj.org/article/d39257999e084c3891c7b212eddaca6b
Publikováno v:
Minerals, Vol 12, Iss 6, p 731 (2022)
The prediction of rate-dependent compressive strength of rocks in dynamic compression experiments is still a notable challenge. Four machine learning models were introduced and employed on a dataset of 164 experiments to achieve an accurate predictio
Externí odkaz:
https://doaj.org/article/ad4ae9071f7e46428c8f566c2b424ed9
Publikováno v:
Buildings, Vol 12, Iss 5, p 698 (2022)
Axial bearing capacity is the key index of circular concrete-filled steel tubes (CCFST). A hybrid PSO-ANN model consisting of an artificial neural network (ANN) optimized with particle swarm algorithm (PSO) was proposed to reliably and accurately pre
Externí odkaz:
https://doaj.org/article/0cecd9be552248fcae4a0840d246dd1e
Publikováno v:
Buildings, Vol 12, Iss 5, p 690 (2022)
It is time-consuming and uneconomical to estimate the strength properties of fly ash concrete using conventional compression experiments. For this reason, four machine learning models—extreme learning machine, random forest, original support vector
Externí odkaz:
https://doaj.org/article/99cd949b39a84659aff82f811ad4977e
Publikováno v:
Buildings, Vol 12, Iss 3, p 302 (2022)
Compressive strength is an important mechanical property of high-strength concrete (HSC), but testing methods are usually uneconomical, time-consuming, and labor-intensive. To this end, in this paper, a long short-term memory (LSTM) model was propose
Externí odkaz:
https://doaj.org/article/539d77a4156b43429ed006b6213ecadc
Publikováno v:
Polymers, Vol 14, Iss 4, p 818 (2022)
Bistable polymer composite structures are morphing shells that can change shape and maintain two stable configurations. At present, mainly two types of bistable polymer composite structures are being studied: cross-ply laminates and antisymmetric cyl
Externí odkaz:
https://doaj.org/article/b5db7d6e06184ac0bc3d5528bd6f3358
Autor:
Yanqi Wu, Yisong Zhou
Publikováno v:
Mechanics of Advanced Materials and Structures. :1-11
Publikováno v:
Composite Structures. 319:117127
Autor:
Xiangzhi Tong, Yanli Ai, Xingmei Guo, Yisong Zhou, Mingjun Qiu, Yibing Cai, Junhao Zhang, Dongcheng Zhou, Qinghong Kong
Publikováno v:
European Journal of Inorganic Chemistry. 2021:562-566
Autor:
Yanqi Wu, Yisong Zhou
Publikováno v:
Environmental science and pollution research internationalReferences. 29(59)
Splitting tensile strength is one of the commonly used mechanical properties in the design of high-performance concrete (HPC) structures. To achieve accurate prediction of splitting tensile strength of HPC, two optimized machine learning models GA-AN