کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
742955 | 894332 | 2010 | 8 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Efficient orthogonalization in gas sensor arrays using reciprocal kernel support vector regression
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
شیمی
شیمی آنالیزی یا شیمی تجزیه
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Efficient orthogonalization in gas sensor arrays using reciprocal kernel support vector regression Efficient orthogonalization in gas sensor arrays using reciprocal kernel support vector regression](/preview/png/742955.png)
چکیده انگلیسی
In this paper support vector regression is presented, and it is used to model the responses of metal oxide gas sensors to combustion byproducts. A new version of the reciprocal kernel is presented for use in the regression, and it is tested in multiple dimensions. The orthogonality of the sensors is also calculated to determine if the sensors are suitable for use in arrays. A fast numerical approximation of the sensor orthogonality, which takes advantage of the reciprocal kernel, is presented as a way of quickly optimizing the effective response of large arrays. Comparison reveals advantages over standard approaches like principal component analysis.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Sensors and Actuators B: Chemical - Volume 149, Issue 1, 6 August 2010, Pages 264–271
Journal: Sensors and Actuators B: Chemical - Volume 149, Issue 1, 6 August 2010, Pages 264–271
نویسندگان
Andrew W. Dougherty, Elvin Beach, Patricia A. Morris, Bruce R. Patton,