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On the Use of Neural Networks to Solve the Reverse Modelling Problem for the Quantification of Dopant Profiles Extracted by Scanning Probe Microscopy Techniques


Publisher
Elsevier Science
Year
2004
Tongue
English
Weight
855 KB
Volume
44
Category
Article
ISSN
0026-2714

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✦ Synopsis


In this paper, we present the use of artificial neural networks to extract the doping profile from the one-dimensional carrier concentration distribution (and viceversa). The values of the weights and of the biases are computed for the optimum network configuration. The performances and the noise immunity characteristicsof the proposed network are assessed and compared with those of the standard techniques.

(c) 2004 Elsevier Ltd. All rights reserved.