On the Capability of Artificial Neural Networks to Compensate Nonlinearities in Wavelength SensingReport as inadecuate




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1

Laboratoire d’Electronique Avancée, Département d’Electronique, Université de Batna, 05 avenue Chahid Boukhlouf 05000 Batna, Algeria

2

Institut für Technische Informatik und Mikroelektronik, Technische Universität Berlin, Germany





*

Author to whom correspondence should be addressed.



Abstract An intelligent sensor for light wavelength readout, suitable for visible range optical applications, has been developed. Using buried triple photo-junction as basic pixel sensing element in combination with artificial neural network ANN, the wavelength readout with a full-scale error of less than 1.5% over the range of 400 to 780 nm can be achieved. Through this work, the applicability of the ANN approach in optical sensing is investigated and compared with conventional methods, and a good compromise between accuracy and the possibility for on-chip implementation was thus found. Indeed, this technique can serve different purposes and may replace conventional methods. View Full-Text

Keywords: Buried photo PN junctions; Artificial Neural Network; wavelength measurement Buried photo PN junctions; Artificial Neural Network; wavelength measurement





Author: Mohamed Lamine Hafiane 1,* , Zohir Dibi 1 and Otto Manck 2

Source: http://mdpi.com/



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