Author:
Khan M. Imran. H.,Longa Duval,Sablani Shyam S.,Gu YuanTong
Publisher
Springer Science and Business Media LLC
Subject
Industrial and Manufacturing Engineering,Process Chemistry and Technology,Safety, Risk, Reliability and Quality,Food Science
Reference48 articles.
1. Abadi, M., Barham, P., Chen, J., Chen, Z., Davis, A., Dean, J., & Isard, M. (2016). Tensorflow: A system for large-scale machine learning. In 12th USENIX symposium on operating systems design and implementation (OSDI 16) (pp. 265–283).
2. Aghbashlo, M., Kianmehr, M. H., Nazghelichi, T., & Rafiee, S. (2011). Optimization of an artificial neural network topology for predicting drying kinetics of carrot cubes using combined response surface and genetic algorithm. Drying Technology, 29(7), 770–779.
3. Attoh-Okine, N. O. (1999). Analysis of learning rate and momentum term in backpropagation neural network algorithm trained to predict pavement performance. Advances in Engineering Software, 30(4), 291–302.
4. Çakmak, G., & Yıldız, C. (2011). The prediction of seedy grape drying rate using a neural network method. Computers and Electronics in Agriculture, 75(1), 132–138.
5. Cárdenas-Pérez, S., Chanona-Pérez, J., Méndez-Méndez, J., Calderón-Domínguez, G., López-Santiago, R., & Arzate-Vázquez, I. (2016). Nanoindentation study on apple tissue and isolated cells by atomic force microscopy, image and fractal analysis. Innovative Food Science & Emerging Technologies, 34, 234–242.
Cited by
8 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献