کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
746128 1462129 2006 6 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A dimensionality-reduction technique inspired by receptor convergence in the olfactory system
موضوعات مرتبط
مهندسی و علوم پایه شیمی شیمی آنالیزی یا شیمی تجزیه
پیش نمایش صفحه اول مقاله
A dimensionality-reduction technique inspired by receptor convergence in the olfactory system
چکیده انگلیسی

In this paper, we propose a new technique for feature extraction/selection based on the projection of sensor features in class space while taking into account the sensor variance. The proposed technique is inspired by the organization of the early stages in the biological olfactory system. The algorithm proves to be highly suitable for high-dimensional feature vectors. The performance shows robustness with problems where only a small number of samples are available as a training dataset. We demonstrate the method on experimental data from two metal oxide sensors driven by a sinusoidal temperature profile.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Sensors and Actuators B: Chemical - Volume 116, Issues 1–2, 28 July 2006, Pages 17–22
نویسندگان
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