华南理工大学学报（自然科学版）
華南理工大學學報（自然科學版）
화남리공대학학보（자연과학판）
JOURNAL OF SOUTH CHINA UNIVERSITY OF TECHNOLOGY(NATURAL SCIENCE EDITION)
2014年
7期
132-137
,共6页
纸张%抗张强度%建模%偏最小二乘法%支持向量机
紙張%抗張彊度%建模%偏最小二乘法%支持嚮量機
지장%항장강도%건모%편최소이승법%지지향량궤
paper%tensile strength%modeling%partial least squares%support vector machines
为解决纸张抗张强度预测模型实际相关性差、预测精度低的问题，基于某瓦楞纸厂生产线，通过机理分析筛选出影响抗张强度的生产变量，分别使用偏最小二乘法（ PLS ）和支持向量机法（ SVM）对抗张强度建模，并通过相关性筛选后的简化模型对模型预测精度进行比较．结果表明，简化后的支持向量机模型更适合纸张抗张强度的现场预测，其均方根误差为321 N/m，皮尔逊相关系数为0．909，预测速度快且模型精度较高．
為解決紙張抗張彊度預測模型實際相關性差、預測精度低的問題，基于某瓦楞紙廠生產線，通過機理分析篩選齣影響抗張彊度的生產變量，分彆使用偏最小二乘法（ PLS ）和支持嚮量機法（ SVM）對抗張彊度建模，併通過相關性篩選後的簡化模型對模型預測精度進行比較．結果錶明，簡化後的支持嚮量機模型更適閤紙張抗張彊度的現場預測，其均方根誤差為321 N/m，皮爾遜相關繫數為0．909，預測速度快且模型精度較高．
위해결지장항장강도예측모형실제상관성차、예측정도저적문제，기우모와릉지엄생산선，통과궤리분석사선출영향항장강도적생산변량，분별사용편최소이승법（ PLS ）화지지향량궤법（ SVM）대항장강도건모，병통과상관성사선후적간화모형대모형예측정도진행비교．결과표명，간화후적지지향량궤모형경괄합지장항장강도적현장예측，기균방근오차위321 N/m，피이손상관계수위0．909，예측속도쾌차모형정도교고．
In order to solve the problems of poor practicality and low accuracy of the existing paper tensile strength prediction models , two prediction models respectively based on the partial least-squares ( PLS ) and the support vector machine ( SVM) are established for a corrugated paper mill by selecting parameters affecting paper tensile strength through mechanism analysis .Then, the two models are simplified by deleting parameters of low correlation with tensile strength , and the simplified models are compared in terms of prediction accuracy .The results show that the simplified SVM model , whose root mean square error and Pearson correlation coefficient are 321 N/m and 0.909 respectively , is a quick prediction model with a high accuracy , so it is more suitable for the on-line prediction of tensile strength .
