System Based on BP Network for Garment Quality Forecast and Management

Xiao Ping Zhang; Xiao Xia Yang

doi:10.4028/www.scientific.net/AMR.383-390.1653

Paper Titles

New Method for Construction Land Prediction Incorporating Genetic Algorithm and Support Vector Machines
p.1629

Research on Powertrain System of Series HEB Control Strategy Simulation
p.1635

Research on Management Information Platform of Dynamic Water Rights Based on Grid Technology
p.1641

Energy Storage and Deposition Characteristics of Spark Ignition System
p.1647

System Based on BP Network for Garment Quality Forecast and Management
p.1653

Numerical Analysis on Propagation and Fatigue Life of Asphalt Pavement Surface Crack
p.1658

Parameterized and Modular Theory Used in Rapid Design System of Simi-Trailer Tanker
p.1664

Study and Application of the Variable Torque Slipping Clutch with Skewed Rollers
p.1671

Hybrid Genetic Algorithm-Based Production Planning for Steel-Making and Continuous Casting Process
p.1677

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 383-390System Based on BP Network for Garment Quality...

System Based on BP Network for Garment Quality Forecast and Management

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.

You might also be interested in these eBooks

Manufacturing Science and Technology, ICMST2011

View Preview

Info:

Periodical:

Advanced Materials Research (Volumes 383-390)

Pages:

1653-1657

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.383-390.1653

Citation:

Cite this paper

Online since:

November 2011

Authors:

Xiao Ping Zhang, Xiao Xia Yang

Keywords:

Intelligent Technology, Objective Analysis, Optimal Production Planning, Quality Forecast System Introduction

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[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.

Google Scholar

[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.

Google Scholar

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

Google Scholar

[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.

Google Scholar

[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.

Google Scholar