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Food material compatibility and inter-restriction relation classification method based on neural network

A technology of neural network and classification method, which is applied in the application field of computer science in Chinese dietotherapy, can solve the problems of limited number of experts, difficult to cover, wrong dietary advice, etc., and achieve the effect of improving accuracy

Active Publication Date: 2017-06-13
SOUTH CHINA UNIV OF TECH
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Problems solved by technology

This method has two disadvantages. One is that the number of experts is limited and it is difficult to cover the growing demand. The other is that manual diagnosis is highly uncertain, and different experts often have different experiences and understandings, which can easily lead to wrong dietary recommendations

Method used

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  • Food material compatibility and inter-restriction relation classification method based on neural network
  • Food material compatibility and inter-restriction relation classification method based on neural network
  • Food material compatibility and inter-restriction relation classification method based on neural network

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Embodiment 1

[0044] Such as figure 1 As shown, the method for classifying the Junker relationship between ingredients in this embodiment includes the following steps:

[0045] (1) Collect information such as health blog posts and food encyclopedias as text corpus

[0046] Use crawlers to crawl health blog posts and food encyclopedias on the Internet and other information on TCM physique as text corpus.

[0047] (2) Carry out overall modeling on the collected text corpus to generate word vectors, so that each non-stop word in the text corpus corresponds to a fixed-length word vector

[0048] The "word vector" in this embodiment refers to the neural network word embedding modeling algorithm and its modeling tool word2vec proposed by Google in 2013. The word vector model is a model that converts words into word vectors. The simplest word The vector model is a one-hot model, which corresponds to a different dimension for each word. The word vector corresponding to each word is a vector whose...

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Abstract

The invention discloses a food material compatibility and inter-restriction relation classification method based on a neural network. The method comprises the steps that data of constitutional science of Chinese medicine is acquired to serve as text corpus; overall modelling is conducted on the acquired text corpus to generate word vectors, so that each non-stop word in the text corpus correspond to one word vector fixed in length; the cosine similarity between two word vectors is used as the similarity between entities corresponding to the two word vectors; for two given food materials, the relation characteristics of the two food materials are represented as a matrix consisting of the word vectors of representation words of food material relation; a cyclic convolution neural network is used, and the characteristics of food material relation serve as inputs of the cyclic convolution neural network to train data of manually annotated food material compatibility and inter-restriction relation. By adopting the method, the food material compatibility and inter-restriction relation can be accurately and rapidly judged, and further a food therapy recommendation system is assisted to enrich food varieties recommended by the therapy recommendation system.

Description

technical field [0001] The invention relates to a method for classifying the Junker relationship among ingredients, in particular to a neural network-based method for classifying the Junker relationship among ingredients, and belongs to the application field of computer science in Chinese dietotherapy. Background technique [0002] As we all know, Chinese medicine is the traditional medicine of our country, and physique dietotherapy is an important part of the theory of Chinese medicine. However, its judgment indicators have the characteristics of discreteness and fuzziness, which makes it difficult to integrate and systematize TCM diet therapy. [0003] With the development of society and the process of industrialization, on the one hand, my country's air resources and water resources have been polluted to a considerable extent, and on the other hand, young people working in cities are under greater pressure than ever before. This makes many people in a state of sub-health...

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Application Information

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IPC IPC(8): G06F17/30G06N3/08G06F19/00
CPCG06F16/35G06F16/951G06N3/08G16H50/70
Inventor 文贵华胡钧
Owner SOUTH CHINA UNIV OF TECH
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