شماره ركورد كنفرانس :
453
عنوان مقاله :
Interval Support Vector Machine in Regression Analysis
پديدآورندگان :
Arjmandzadeh A نويسنده , Zamirian M نويسنده
تعداد صفحه :
2
كليدواژه :
Support Vector Machine , Regression analysis , Interval quadratic optimization problem
عنوان كنفرانس :
چهارمين كنفرانس بين المللي انجمن ايران تحقيق در عمليات
زبان مدرك :
فارسی
چكيده فارسي :
Support vector machines (SVMs) have been widely applied in regression analysis. The standard support vector regression (SVR), is a quadratic optimization problem that is formulated according to the form of training samples. In real world, the parameters are seldom known and usually are estimated. In this paper we propose an interval support vector regression (ISVR) problem which the training samples are interval values. Using duality theorem and applying variable transformation theorem the problem is solved
شماره مدرك كنفرانس :
1891451
سال انتشار :
1390
از صفحه :
1
تا صفحه :
2
سال انتشار :
0
لينک به اين مدرک :
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