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A genetic-algorithm-based neural network approach for EDXRF analysis

LOW ENERGY ACCELERATOR, RAY AND APPLICATIONS | Updated：2021-01-20

- A genetic-algorithm-based neural network approach for EDXRF analysis Cover Article Enhanced Publication
- Nuclear Science and Techniques Vol.25, Issue 3, (2014)
- Affiliations：
  
  State Key Laboratory of Geohazard Prevention and Geoenvironment Protection (Chengdu University of Technology),Chengdu,China,610059;Key Subject Laboratory of National Defense for Radioactive Waste and Environmental Security, Southwest University of Science and Technology,Mianyang,China,621010
- Author bio：
- Funds：
- DOI：10.13538/j.1001-8042/nst.25.030203 CLC：
- Published：20 June 2014，
  
  Published Online：20 June 2014，
  
  Received：23 August 2013，
  
  Revised：，
  
  Accepted：17 May 2014
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Cite this article
Jun WANG, Ming-Zhe LIU, Xian-Guo TUO, et al. A genetic-algorithm-based neural network approach for EDXRF analysis. [J]. Nuclear Science and Techniques 25(3):030203(2014)
DOI：

Jun WANG, Ming-Zhe LIU, Xian-Guo TUO, et al. A genetic-algorithm-based neural network approach for EDXRF analysis. [J]. Nuclear Science and Techniques 25(3):030203(2014) DOI： 10.13538/j.1001-8042/nst.25.030203.

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A genetic-algorithm-based neural network approach for EDXRF analysis Cover Article Enhanced Publication