A Convolutional Neural Network Based Auto Features Extraction Method for Tea Classification with Electronic Tongue

A Convolutional Neural Network Based Auto Features Extraction Method for Tea Classification with Electronic Tongue

Feature extraction is a key part of the electronic tongue system. Almost all of the existing features extraction methods are “hand-crafted”, which are difficult in features selection and poor in stability. The lack of automatic, efficient and accurate features extraction methods...

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Bibliographic Details
Main Authors: Yuan hong Zhong, Shun Zhang, Rongbu He, Jingyi Zhang, Zhaokun Zhou, Xinyu Cheng, Guan Huang, Jing Zhang
Format: Article
Language:English
Published: MDPI AG 2019-06-01
Series:Applied Sciences
Subjects:
electronic tongue
tea classification
auto features extraction
convolutional neural network
Online Access:https://www.mdpi.com/2076-3417/9/12/2518

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