کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
7141623 | 1462034 | 2018 | 28 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
A review of algorithms for SAW sensors e-nose based volatile compound identification
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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: A review of algorithms for SAW sensors e-nose based volatile compound identification A review of algorithms for SAW sensors e-nose based volatile compound identification](/preview/png/7141623.png)
چکیده انگلیسی
Recent advances in odour sensors have led to the development of new applications; among them, electronic noses have gained major interest and found successful applications in many fields. An electronic nose is a device composed of an array of odour sensors with sensitivity to a wide range of chemical compounds. Reliable electronic nose systems rely on advanced data processing techniques. Among them, machine learning has become a core technique for electronic nose design. In this document, we describe several machine learning algorithms and compare their performances on different features used in state of the art electronic nose systems.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Sensors and Actuators B: Chemical - Volume 255, Part 3, February 2018, Pages 2472-2482
Journal: Sensors and Actuators B: Chemical - Volume 255, Part 3, February 2018, Pages 2472-2482
نویسندگان
Olivier Hotel, Jean-Philippe Poli, Christine Mer-Calfati, Emmanuel Scorsone, Samuel Saada,