ANN and GA-based process parameter optimization for MIMO plastic injection molding

CHUR > College of Tourism > Department of Leisure and Recreation Management > Seminar Papers > Item 987654321/36366

Please use this identifier to cite or link to this item: http://chur.chu.edu.tw/handle/987654321/36366

Title:	ANN and GA-based process parameter optimization for MIMO plastic injection molding
Authors:	鄧維兆 Deng, Wei-Jaw
Contributors:	休閒遊憩規劃與管理學系 Leisure and Recreation Management
Keywords:	Plastic injection molding;Back-propagation neural networks;Taguchi’s parameter design;Genetic algorithms
Date:	2007
Issue Date:	2014-06-27 15:03:55 (UTC+8)
Abstract:	Determining optimal initial process parameter settings critically influences productivity, quality, and costs of production in the plastic injection molding (PIM) industry. Up to now, most production engineers have either used trial-and-error or Taguchi’s
Appears in Collections:	[Department of Leisure and Recreation Management] Seminar Papers

Files in This Item:

File	Description	Size	Format
s_i305_0054.pdf		27Kb	Adobe PDF	352	View/Open