Evaluation of tourism food safety and quality with neural networks

HIGHLIGHTS

• who: Dandan Li and collaborators from the Key Laboratory of Food Science and Technology, School of Life Sciences and Food Engineering, Nanchang University, Nanchang, China have published the Article: Evaluation of Tourism Food Safety and Quality with Neural Networks, in the Journal: Computational Intelligence and Neuroscience of 16/08/2022
• what: This work proposes a multiscale convolutional neural network (AMCNN) combined with neural networks and attention layers to realize the safety and quality evaluation of tourist food. The convolutional attention module (CBAM) is embedded on the basis of the multiscale convolutional neural network which makes . . .
  

   

  

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