An Adaptive Deep Learning Method Combined With an Electronic Nose System for Quality Identification of Soybeans Storage Period
Author:
Affiliation:
1. School of Intelligent Manufacturing, Nanyang Institute of Technology, Nanyang, China
2. College of Medical Information Engineering, Shandong First Medical University & Shandong Academy of Medical Sciences, Tai’an, China
Funder
Henan Province Science and Technology Research Project
Henan Province Key Research Project of Higher Education Institutions
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/7361/10516472/10473689.pdf?arnumber=10473689
Reference25 articles.
1. Lightweight Residual Convolutional Neural Network for Soybean Classification Combined With Electronic Nose
2. Quality of soybean cultivars in the drying and storage processes in real scale and experimental
3. Effect of the changs of microbial community on flavor components of traditional soybean paste during storage period
4. Discrimination of geographical indication of Chinese green teas using an electronic nose combined with quantum neural networks: A portable strategy
5. Electronic nose sensors data feature mining: a synergetic strategy for the classification of beer
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