Artificial neural network analysis of RBS and ERDA spectra of multilayered multielemental samples

被引：9

作者：

Nene, N. R.

Vieira, A.

Barradas, N. P.

机构：

[1] Inst Tecnol & Nucl, P-2686953 Sacavem, Portugal

[2] Inst Super Engn Porto, P-4200 Oporto, Portugal

[3] Univ Lisbon, Ctr Fis Nucl, P-1649003 Lisbon, Portugal

来源：

NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION B-BEAM INTERACTIONS WITH MATERIALS AND ATOMS | 2006年 / 246卷 / 02期

关键词：

Rutherford backscattering; neural networks; data analysis; ion beam analysis;

D O I：

10.1016/j.nimb.2006.01.016

中图分类号：

TH7 [仪器、仪表];

学科分类号：

0804 ; 080401 ; 081102 ;

摘要：

We have developed artificial neural networks (ANNs) for simultaneous analysis of Rutherford backscattering spectrometry and elastic recoil detection analysis data. The ANNs developed were applied to a highly complex problem, namely the analysis of multilavered silica-titania films doped with Ag and Er, where 11 parameters are required to describe the samples. Extensive optimization of network architecture, connectivity and pre-processing is presented. The optimized ANN was applied to experimental data leading to accurate results. (c) 2006 Elsevier B.V. All rights reserved.

引用

页码：471 / 478

页数：8

共 23 条

[1] Artificial neural network algorithm for analysis of Rutherford backscattering data [J].