Research on the influence of attention and emotion of tea drinkers based on artificial neural network

Biyun Hong; Yang Zhang; Biyun Hong; Yang Zhang

doi:10.3934/mbe.2021171

Mathematical Biosciences and Engineering

2021, Volume 18, Issue 4: 3423-3434. doi: 10.3934/mbe.2021171

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Research on the influence of attention and emotion of tea drinkers based on artificial neural network

Biyun Hong ¹,
Yang Zhang ^{2
,
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1.
Anxi College of Tea Science, Fujian Agriculture and Forestry University, China
2.
Fine Art and Design College, Quanzhou Normal University, China

Academic Editor: Kelvin K.L. Wong

Received: 15 February 2021 Accepted: 12 April 2021 Published: 19 April 2021

Tea can help to regulate the mood of human. Based on the influence of tea on people's mood and attention, this study explored the tea concentration when the mood and attention of drinkers are in the best state, and established the best concentration model of tea. Using sampling experiment method to collect objective data, which are then combined with questionnaire survey method to collect subjective data, using the results to establish a neural network algorithm model to test the accuracy of the neural network algorithm model. Experiments show that the correlation coefficient of the output value of the BP neural network model constructed in this study is basically consistent with the actual prediction result. After obtaining data such as age, gender, frequency of tea drinking, and tea drinking concentration of tea drinkers, the constructed back propagation (BP) neural network model can accurately predict the mental state score of tea drinkers. The research will provide certain data support and theoretical basis for the follow-up development of the tea industry. Follow-up work needs to be performed in order to further adjust the scope and accuracy of the control model. Then, a more complete and accurate advanced BP neural network model can be established for different types of tea and other parameters.
- health informatics,
- mood and attention,
- BP neural network,
- α brain wave,
- tea concentration
Citation: Biyun Hong, Yang Zhang. Research on the influence of attention and emotion of tea drinkers based on artificial neural network[J]. Mathematical Biosciences and Engineering, 2021, 18(4): 3423-3434. doi: 10.3934/mbe.2021171

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Abstract

Tea can help to regulate the mood of human. Based on the influence of tea on people's mood and attention, this study explored the tea concentration when the mood and attention of drinkers are in the best state, and established the best concentration model of tea. Using sampling experiment method to collect objective data, which are then combined with questionnaire survey method to collect subjective data, using the results to establish a neural network algorithm model to test the accuracy of the neural network algorithm model. Experiments show that the correlation coefficient of the output value of the BP neural network model constructed in this study is basically consistent with the actual prediction result. After obtaining data such as age, gender, frequency of tea drinking, and tea drinking concentration of tea drinkers, the constructed back propagation (BP) neural network model can accurately predict the mental state score of tea drinkers. The research will provide certain data support and theoretical basis for the follow-up development of the tea industry. Follow-up work needs to be performed in order to further adjust the scope and accuracy of the control model. Then, a more complete and accurate advanced BP neural network model can be established for different types of tea and other parameters.

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