Machine learning in drying
作者： Alex Martynenko , N. N. Misra
DOI: 10.1080/07373937.2019.1690502
关键词: Control engineering 、 Process control 、 Control (management)
摘要: Although very important for analysis of drying processes, physics-based models are limited in terms of their prediction ability and in most cases are unsuitable for real-time process …
sci-hub.se 
researchgate.net 参考文章(101)
Aleksandra Jedlińska, Katarzyna Samborska, Agata Wieczorek, Artur Wiktor, Ewa Ostrowska-Ligęza, Wojciech Jamróz, Krystyna Skwarczyńska-Maj, Dariusz Kiełczewski, Łukasz Błażowski, Marcin Tułodziecki, Dorota Witrowa-Rajchert, The application of dehumidified air in rapeseed and honeydew honey spray drying - Process performance and powders properties considerations Journal of Food Engineering. ,vol. 245, pp. 80- 87 ,(2019) , 10.1016/J.JFOODENG.2018.10.017
Handbook of Industrial Drying, Fourth Edition CRC Press. ,(2014) , 10.1201/B17208
Yuejin Yuan, Libin Tan, Yingying Xu, Yueding Yuan, Jixian Dong, Numerical and experimental study on drying shrinkage-deformation of apple slices during process of heat-mass transfer International Journal of Thermal Sciences. ,vol. 136, pp. 539- 548 ,(2019) , 10.1016/J.IJTHERMALSCI.2018.10.042
Xiao-Fei Wu, Min Zhang, Zhongqin Li, Dehydration modeling of Cordyceps militaris in mid-infrared-assisted convection drying system: Using low-field nuclear magnetic resonance with the aid of ELM and PLSR Drying Technology. ,vol. 37, pp. 2072- 2086 ,(2019) , 10.1080/07373937.2018.1555843
Zi-Liang Liu, Jun-Wen Bai, Wen-Xia Yang, Jun Wang, Li-Zhen Deng, Xian-Long Yu, Zhi-An Zheng, Zhen-Jiang Gao, Hong-Wei Xiao, Effect of high-humidity hot air impingement blanching (HHAIB) and drying parameters on drying characteristics and quality of broccoli florets Drying Technology. ,vol. 37, pp. 1251- 1264 ,(2019) , 10.1080/07373937.2018.1494185
Chandan Kumar, Mohammad UH Joardder, Troy W Farrell, Graeme J Millar, Azharul Karim, None, A porous media transport model for apple drying Biosystems Engineering. ,vol. 176, pp. 12- 25 ,(2018) , 10.1016/J.BIOSYSTEMSENG.2018.06.021
Yann LeCun, Yoshua Bengio, Geoffrey Hinton, Deep learning Nature. ,vol. 521, pp. 436- 444 ,(2015) , 10.1038/NATURE14539
Emmanuel Purlis, Modelling convective drying of foods: A multiphase porous media model considering heat of sorption Journal of Food Engineering. ,vol. 263, pp. 132- 146 ,(2019) , 10.1016/J.JFOODENG.2019.05.028
Thomas Trappenberg, Deep Probabilistic Machine Learning for Intelligent Control CRC Press. pp. 189- 208 ,(2018) , 10.1201/9780429443183-11
Danilo Bzdok, Thomas E. Nichols, Stephen M. Smith, Towards Algorithmic Analytics for Large-scale Datasets. Nature Machine Intelligence. ,vol. 1, pp. 296- 306 ,(2019) , 10.1038/S42256-019-0069-5