Design of Intelligent Clothing Selection System Based on Neural Network

In view of more and more personalized clothing requirements, an intelligent clothing collocation selection system was designed and developed in this paper. By collecting the user's personalized dressing demand information, the system combines the objective elements such as season, occasion, posture and skin color with the subjective individualized requirements such as color, fabric and style, and a personalized clothing recommendation solution based on self-organizing map (SOM) neural network is proposed, and a small-scale clothing information database was established. It is used to fuse the relevant information, such as composite, integration and association, so as to deeply mine the user's personal preferences. Based on this, it can provide users with the basis of clothing customization and purchase recommendation. After testing, the SOM neural network was applied to the classification function of the clothing recommendation auxiliary system, which had good performance, good accuracy and reliability, and showed great potential in solving personalized recommendation.