A novel Chinese herbal medicine classification approach based on EfficientNet-Reference-Cited by-同舟云学术

A novel Chinese herbal medicine classification approach based on EfficientNet

Published:2021-01-01 Issue:1 Volume:9 Page:304-313
ISSN:2164-2583
Container-title:Systems Science & Control Engineering
language:en
Short-container-title:Systems Science & Control Engineering

Author:

Hao Wangli¹^ORCID,Han Meng¹,Yang Hua¹,Hao Fei²,Li Fuzhong¹

Affiliation:

1. Shanxi Agricultural University, Jinzhong, Shanxi, People's Republic of China

2. Shaanxi Normal University, Xi'an, Shaanxi, People's Republic of China

Funder

Shanxi Province Higher Education Innovation Project of China

National Natural Science Foundation of China

Publisher

Informa UK Limited

Subject

Artificial Intelligence,Control and Optimization,Control and Systems Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/21642583.2021.1901159

Reference20 articles.

1. Chollet, F. (2016). Xception: Deep Learning with Depthwise Separable Convolutions. In Computer vision and pattern recognition(CVPR). IEEE. arxiv:1610-02357. IEEE

2. Classification of Chinese Herbal medicines based on SVM

3. null

4. Howard, A. G., Zhu, M., Chen, B., Kalenichenko, D., Wang, W., Weyand, T., Andreetto, M. & Adam, H. (2017). Mobilenets: Efficient convolutional neural networks for mobile vision applications. Preprint, arXiv:1704.04861.

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