A neural network-based approach for dynamic quality prediction in a plastic injection molding process

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Please use this identifier to cite or link to this item: http://chur.chu.edu.tw/handle/987654321/36202

Title:	A neural network-based approach for dynamic quality prediction in a plastic injection molding process
Authors:	鄧維兆 Deng, Wei-Jaw
Contributors:	休閒遊憩規劃與管理學系 Leisure and Recreation Management
Keywords:	Neural network-based prediction system;Injection molding process;Self-organizing map;Back-propagation neural network;Dynamic quality predictor;Taguchi’s parameter design method
Date:	2008
Issue Date:	2014-06-27 11:37:20 (UTC+8)
Abstract:	This paper presents an innovative neural network-based quality prediction system for a plastic injection molding process. A self-organizing map plus a back-propagation neural network (SOM-BPNN) model is proposed for creating a dynamic quality predictor. T
Appears in Collections:	[Department of Leisure and Recreation Management] Journal Articles

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