Issue
Total 60 articles [ 키워드: Neural Network ]
No. Article
1 Korean Journal of Chemical Engineering, 40 (9), pp.2334-2341 (2023)
Automated paint coating using two consecutive images with CNN regression
Byoung Chul Kim, Jin Whan Park, Young Han Kim
2 Korean Journal of Chemical Engineering, 40 (5), pp.1168-1175 (2023)
Investigation and optimization of olefin purification in methanol-to-olefin process based on machine learning approach coupled with genetic algorithm
Amin Hedayati Moghaddam
3 Korean Journal of Chemical Engineering, 40 (1), pp.37-45 (2023)
Exploring advanced process equipment visualization as a step towards digital twins development in the chemical industry: A CFD-DNN approach
Gbadago DQ, Moon JY, Hwang SW
4 Korean Journal of Chemical Engineering, 40 (1), pp.57-66 (2023)
A deep learning approach using temporal-spatial data of computational fluid dynamics for fast property prediction of gas-solid fluidized bed
Qin P, Xia Z, Guo L
5 Korean Journal of Chemical Engineering, 39 (12), pp.3227-3245 (2022)
Numerical investigation and deep learning-based prediction of heat transfer characteristics and bubble dynamics of subcooled flow boiling in a vertical tube
Eskandari E, Alimoradi H, Pourbagian M, et al.
6 Korean Journal of Chemical Engineering, 39 (3), pp.515-528 (2022)
Physics-informed deep learning for data-driven solutionsof computational fluid dynamics
Choi S, Jung I, Kim H, et al.
7 Korean Journal of Chemical Engineering, 38 (11), pp.2265-2278 (2021)
Modelling and optimization of Fenton processes through neural network and genetic algorithm
Cuce H, Temel FA, Yolcu OC
8 Korean Journal of Chemical Engineering, 37 (11), pp.1975-1984 (2020)
Fast and effective methylene blue adsorption onto graphene oxide/amberlite nanocomposite: Evaluation and comparison of optimization techniques
Digeroglu Z, Kucukyildiz G, Hasimoglu A, et al.
9 Korean Journal of Chemical Engineering, 36 (3), pp.325-332 (2019)
Development of surrogate model using CFD and deep neural networks to optimize gas detector layout
Jeon KW, Yang SY, Kang DJ, et al.
10 Korean Journal of Chemical Engineering, 35 (10), pp.2097-2116 (2018)
A comprehensive comparison among four different approaches for predicting the solubility of pharmaceutical solid compounds in supercritical carbon dioxide
Sodeifian G, Sajadian SA, Razmimanesh F, et al.
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