System Based on BP Network for Garment Quality Forecast and Management-Reference-Cited by-同舟云学术

System Based on BP Network for Garment Quality Forecast and Management

Published:2011-11 Issue: Volume:383-390 Page:1653-1657
ISSN:1662-8985
Container-title:Advanced Materials Research
language:
Short-container-title:AMR

Author:

Zhang Xiao Ping¹,Yang Xiao Xia¹

Affiliation:

1. Qingdao University

Abstract

In the garment manufacturing, the application of intelligent technology on one hand can get judgments and conclusions in the process on the basis of objective analysis just like artificial experts, on the other hand, it can solve more complex problem and seek optimal production planning and control method in certain production conditions. This positive quality forecast system can direct us to select optimal processing link, the most reasonable materials collection, and predict the effect.

Publisher

Trans Tech Publications, Ltd.

Subject

General Engineering

Link

https://www.scientific.net/AMR.383-390.1653.pdf

Reference5 articles.

1. Kincade D H , Cassill N, Willanmson N. The quick response management system Structure and components for the apparel industry . J Text Inst, 1993, 84(2) pp.8-11.

2. Li Ji-zi, LIU Chun-ling Model Based on BP Networks for Two-Dimensional Evaluation of the Construction of Container Terminal, p.68–73.

3. Efraim Turban, Expert Systems and Applied Artificial Intelligence, Macmillan Publishing Company, 1992. p.271–350.

4. Robert I. Levine, Diane E. Drang, Barry Edelson, AI and Expert Systems_A Comprehensive Guide _C Language, McGraw-Hill, Inc., New York, NY 10020, 1990. p.23–29.

5. Gao Da-wen, Wang Peng, Cai Zhen-chao"Optimization of Hidden Nodes and Training Times in Artificial Neural Network" Journal of Harbin Institute of Technology 2003 p.14–18.