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数据挖掘与建模技术在食品嗅觉和味觉感知与情绪认知中的应用

王蓓 王颖 王亚东 刘帅 江滔

中国食品学报2024,Vol.24Issue(7):1-13,13.
中国食品学报2024,Vol.24Issue(7):1-13,13.DOI:10.16429/j.1009-7848.2024.07.001

数据挖掘与建模技术在食品嗅觉和味觉感知与情绪认知中的应用

Application of Data Mining and Modeling Techniques in Food Olfactory and Taste Perception and Emotional Cognition

王蓓 1王颖 1王亚东 1刘帅 2江滔3

作者信息

  • 1. 北京工商大学食品与健康学院 北京 100048
  • 2. 北京工商大学数学与统计学院 北京 100048
  • 3. 勃艮第大学 里昂神经科学研究中心 法国布龙69500
  • 折叠

摘要

Abstract

With the continuous improvement of science and technology related to food olfactory and taste senses and e-motional cognition,more and more instrumental analysis methods and experimental equipment are used in the research of the above fields.The diversification and comprehensiveness of detection methods and the improvement of detection accu-racy are accompanied by the expansion of data scale related to flavor perception.How to obtain key information from the analysis results of food flavor instruments and the large amount of data collected in the research of consumers'emotional cognition and behavior,and establish the correlation between the data,has been paid more and more attention by re-searchers.Data mining and modeling technology in the field of food is to use a large amount of data obtained in the process of food production and circulation to monitor the physical and chemical changes in each link of the food industry chain in real time and accurately,and to predict the impact of these changes on consumers'sensory characteristics and emotional cognition.In the field of food smell and taste perception,data mining and modeling techniques can provide unprecedented insight and analytical power to food researchers and consumers.Based on the supervised and unsupervised data mining and modeling methods and deep learning methods of classical machine learning methods,this paper analyzes the latest application progress in the research of food sensory attributes and emotional cognition,and looks forward to the application prospect of data mining and modeling technology in the field of food olfactory and taste perception.Help the scientific and technological progress and industrial upgrading of the food industry.

关键词

数据挖掘与建模/机器学习/风味感知/感官属性/情绪认知

Key words

data mining and modeling/machine learning/flavor perception/sensory attributes/emotional cognition

引用本文复制引用

王蓓,王颖,王亚东,刘帅,江滔..数据挖掘与建模技术在食品嗅觉和味觉感知与情绪认知中的应用[J].中国食品学报,2024,24(7):1-13,13.

基金项目

国家自然科学基金项目(32072345) (32072345)

中国食品学报

OA北大核心CSTPCDEI

1009-7848

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