Zobrazeno 1 - 10
of 6 870
pro vyhledávání: '"Back-propagation neural network"'
Autor:
Quan Zhou, Guang Li, Kai Cui, Weilin Mao, Dongxu Lin, Zhenglong Yang, Zhong Chen, Youmin Hu, Xin Zhang
Publikováno v:
Investigative and Clinical Urology, Vol 65, Iss 6, Pp 559-566 (2024)
Purpose: To intelligently diagnose whether there is bladder outlet obstruction (BOO) in female with decent detrusor contraction ability by focusing on urodynamic study (UDS) data. Materials and Methods: We retrospectively reviewed the UDS data of fe
Externí odkaz:
https://doaj.org/article/e611eb24af2644568b155a51e2179aea
Publikováno v:
Alexandria Engineering Journal, Vol 106, Iss , Pp 328-336 (2024)
The predicted Bridge Condition Index (BCI) is a guiding indicator for formulating preventive maintenance strategies for bridges and is hardly available even if using the most advanced neural network prediction model, owing to the few measured BCIs an
Externí odkaz:
https://doaj.org/article/2e4c5615246f425497fcdd85f7aaf94a
Publikováno v:
Shipin Kexue, Vol 45, Iss 20, Pp 256-262 (2024)
A fast method for the identification of the characteristic components of Chrysanthemum was proposed using three-dimensional excitation emission matrix (3DEEM) spectroscopy coupled with parallel factor analysis (PARAFAC). The 3DEEM spectra of four var
Externí odkaz:
https://doaj.org/article/b415688850d64692b987aec84de6cdc5
Publikováno v:
Underground Space, Vol 18, Iss , Pp 273-294 (2024)
This study aims to predict the migration time of toxic fumes induced by excavation blasting in underground mines. To reduce numerical simulation time and optimize ventilation design, several back propagation neural network (BPNN) models optimized by
Externí odkaz:
https://doaj.org/article/b263a44d21b8451a956ec7fad73ee218
Publikováno v:
Hecheng xiangjiao gongye, Vol 46, Iss 6, Pp 488-494 (2024)
Genetic algorithm (GA) and particle swarm optimization (PSO) were used to optimize the back propagation（BP） neural network to establish the prediction model of Mooney viscosity of ethylene-propylene-diene monomer (EPDM) compound, and the error of
Externí odkaz:
https://doaj.org/article/54256548278443f292a86e9f8977db31
Autor:
Yongchang Zhang, Panpan Geng
Publikováno v:
Alexandria Engineering Journal, Vol 100, Iss , Pp 322-330 (2024)
The deposition and dynamics of smoke layers in large-space building fires are governed by a complex interplay of factors, making the prediction of such dynamics using traditional mathematical models challenging. In response, this study introduces a B
Externí odkaz:
https://doaj.org/article/cf3a2dbbdae44d679aebc01e278d7395
Autor:
Hongjiang MA, Xiyu HAO, Ming GAO, Youqiang YU, Shuheng YANG, Shiwei LIU, Xishan MA, Wenxin WANG, Shenglin DUAN, Xue WANG
Publikováno v:
Shipin gongye ke-ji, Vol 45, Iss 13, Pp 239-245 (2024)
'Black pearl' fresh corns from different regions were analyzed using an electronic nose to capture the aroma profile. Principal component analysis (PCA) and discriminant function analysis (DFA) were used for multivariate statistical analysis of 200 d
Externí odkaz:
https://doaj.org/article/887ff355a8c54f5abc4391d7562d8624
Publikováno v:
Heliyon, Vol 10, Iss 21, Pp e37971- (2024)
As China advances its green economy, innovative methods are being employed to enhance energy optimization and conservation within energy-intensive industries. Among these methods, microwave heating stands out due to its superior heating efficiency an
Externí odkaz:
https://doaj.org/article/f3a8ef7fb03746ee88738615ff60586d
Publikováno v:
Frontiers in Marine Science, Vol 11 (2024)
Forecasting typhoon waves during typhoons is crucial. In this paper, the numerical wave model SWAN was enhanced through integration with two machine learning methods: the Back Propagation Neural Network and Random Forest. This integration facilitated
Externí odkaz:
https://doaj.org/article/aa73783cdc18408e9765c9b4af16f684
Publikováno v:
Journal of Enterprise Information Management, 2022, Vol. 37, Issue 3, pp. 828-850.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/JEIM-07-2022-0247