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《Journal of Central South University(Science and Technology)》 2013-01
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Nonlinear self-tuning model of quality index for electrical and mechanical export product and its application

WANG Taosheng 1,ZUO Hongyan 1,2,CHEN Jianmei 1(1.Research Base of Multinational Investment and Operations in Hunan Province,Changsha 410205,China; 2.School of Resource and Safety Engineering,Central South University,Changsha 410083,China; 3.Research Center of Engineering Technology for Engineering Vehicle Chassis Manufacturing in Hunan Province, Changsha 410205,China)  
In order to improve the accuracy of the measurement of the export product quality,the existing quality estimation method was modified,a measurement model of China's export product quality was established,and its nonlinearity through the functional link neural network was self-corrected.The results show that the export product quality indices of industries are mostly larger than 0 and distribute evenly,namely there are three kinds of industries whose qualities are high,medium and low,respectively.In general,the average level of export products quality has a downward trend,while there are four industries in which the quality level of export products presents upward trend.In terms of the nonlinear self-correction function of the measurement model,it can better reflect the evolution path of product quality whose actual trend is time nonlinear,and can enhance the accuracy of the measurement of the export product quality significantly.
【Fund】: 国家自然科学基金资助项目(51176045);; 湖南省软科学计划重点项目(2011ZK2032)
【CateGory Index】: F752.62;F426.6
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