Human body constitution recognition method and system based on neural network classifier
A neural network and neural network model technology, applied in the field of artificial intelligence machine learning, can solve problems such as poor experience, insufficient objectivity, and subjective components in answering questions, so as to achieve good experience, improve objectivity and accuracy
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[0051] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.
[0052] In the first embodiment of the present invention, a human body physique identification method based on a neural network classifier is described, which solves the problem of physique analysis and classification based on multimodal human vital signs such as interrogation, tongue diagnosis, face diagnosis, and pulse diagnosis. It mainly includes the following steps:
[0053] Step 101, train the neural network model, construct the classifier of human physique, a...
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