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Title:Evaluation of mould standard based on the AHP and linear neural network
Authors: Guo Yingying  Liao Hongyi 
Unit: Guilin University of Electronic Technology 
KeyWords: mould standard  evaluation model  analytic hierarchy process  linear neural network 
ClassificationCode:TG76
year,vol(issue):pagenumber:2014,39(11):150-155
Abstract:
Whether to adopt international standards or advanced foreign standards and predicting the applicability of standard to the national conditions are important links in the mould standard system revision work. Through a large number of analyses of our current mould standard, the standard evaluation factors and the standard evaluation system were determined, and the importance of the various factors were calculated by using the analytic hierarchy process. And then by doing quantitative analysis and evaluation, the samples of the linear neural network model were obtained, and after training and validation samples, mould standard evaluation model was gained ultimately. By this, not only the knowledge and experience of the experts can be absorbed completely by the model, but also the evaluation of human factors has gone down. As the experiment shows, the evaluation result of maximum relative error is 1.6%, the method of the mould standard evaluation based on the AHP and linear neural network is correct and feasible.
 
Funds:
国家标准化管理委员会“装备制造业重点领域标准体系研究计划”项目
AuthorIntro:
郭颖颖(1988-),女,硕士研究生
Reference:


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