کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
10716016 1027430 2009 7 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Effect of signal noise on the learning capability of an artificial neural network
موضوعات مرتبط
مهندسی و علوم پایه فیزیک و نجوم ابزار دقیق
پیش نمایش صفحه اول مقاله
Effect of signal noise on the learning capability of an artificial neural network
چکیده انگلیسی
Digital Pulse Shape Analysis (DPSA) by artificial neural networks (ANN) is becoming an important tool to extract relevant information from digitized signals in different areas. In this paper, we present a systematic evidence of how the concomitant noise that distorts the signals or patterns to be identified by an ANN set limits to its learning capability. Also, we present evidence that explains overtraining as a competition between the relevant pattern features, on the one side, against the signal noise, on the other side, as the main cause defining the shape of the error surface in weight space and, consequently, determining the steepest descent path that controls the ANN adaptation process.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment - Volume 606, Issue 3, 21 July 2009, Pages 693-699
نویسندگان
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