Quality Of Clothing Based On Artificial Neural Networks To Predict The Study

Product quality control is production enterprises have participated in the market competition and relies for survival and development foundation, The quality control garment production process is the core part of quality control, including machine, personnel, accessories, cutting, ironing etc, clothing production process control. And it has the automation, flexibility, integration and intelligent characteristics. In order to adapt to the market, consumption personalized trends for the needs of development, for product quality also put forward higher request.This subject to dress for the quality of the high demand, and traditional quality control means hysteresis shortcomings, From clothing industry, discusses and analyzes and compares the advantages and disadvantages of various quality management theory, In focus on analytical aspects of fashion clothes production affect the quality of the major factors, Proposed bp neural network based on the quality of the prediction models and bolstered by the computer model. Through this forecast model, we can advance decision if the process parameters conform to requirements, and if it do not satisfy the requirements of the situation, it can be adjusted by neural network model of process parameters. So before the clothing product processing, we can choose the better production organization way, the more reasonable ratio of raw materials, and we can predict the quality of production.The application of artificial neural network in the clothing production, On the one hand we hope on the basis of objective we can get the judgment of practice problem which close to artificial experts, on the other hand through the application of artificial neural network technology we can solve the complex problems of garment production, seeking the optimal production conditions of production plan and control method. In the production practice, using the neural network technology is more advanced and effective than traditional quality management methods. In the clothing production management field using artificial neural network technology, can expanded garment production theory, this is the advance of this paper.