Analyzing Tongue Images Using a Conceptual Alignment Deep Autoencoder

Analyzing Tongue Images Using a Conceptual Alignment Deep Autoencoder

Artificial intelligence can learn some concepts by analyzing sensory data similarly to humans. This paper explores how artificial neural networks (ANNs) can learn abstract concepts by analyzing tongue images based on concepts from traditional Chinese medicine (TCM), which is a discipline that relies...

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Bibliographic Details
Main Authors: Yinglong Dai, Guojun Wang
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Conceptual alignment deep autoencoder
deep learning
representation learning
tongue image
traditional Chinese medicine
Online Access:https://ieeexplore.ieee.org/document/8244274/

Internet

https://ieeexplore.ieee.org/document/8244274/

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