Traditional Chinese herbal medicine recommending method based on deep neural network
A technology of deep neural network and recommendation method, which is applied in the application field of computer in prescription of traditional Chinese medicine, can solve the problems of complicated process and long waiting time, and achieve the effect of saving time, reducing the time of issuing and high accuracy
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[0065] Such as figure 1 As shown, a method for recommending traditional Chinese medicinal materials based on deep neural network, the steps include:
[0066] S1. The computer collects the eigenvectors of the human tongue coating pictures and the corresponding digital codes of Chinese medicinal materials as the input of the data set;
[0067] S2. Dimensional processing is performed on the feature vector of the tongue coating picture;
[0068] S3. Perform embedded characterization processing on the digital code of the traditional Chinese medicine;
[0069] S4. Learn the relationship between tongue coating pictures and Chinese medicinal materials:
[0070] S41. Merge the tongue coating feature vector in step S2 and the traditional Chinese medicine feature vector in S3 into a new vector by using the method of superimposing vector elements.
[0071] S42. Use the output vector of step S41 as the input vector of the neural network, and use the neural network algorithm to learn the...
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