Using Machine Learning to Design the Management System of Hygienic Problems in the Process of Food Cooking

Abstract

In the era of high-speed information interaction, data sources tend to be networked and digitized, data structures become complex and diverse, and the correlation between data is particularly hidden and difficult to detect. Facing the complex massive food data information, the traditional information research and judgment technology can not meet its needs. Therefore, this paper analyzes the domain category of machine learning, the structure of machine learning and the association rules of machine learning, discusses the strategy of cooking process navigation system and the design strategy of automatic cooking system, and constructs a food cooking expert system. The results show that when the scale of convolution kernel is 1-2-3, the convolution neural network is the best in the multi label classification of formula components.