✦ LIBER ✦
Focusing on one component each time—comparison of single and multiple component prediction algorithms in artificial neural networks for x-ray fluorescence analysis
✍ Scribed by Liqiang Luo; Ang Ji; Guangzu Ma; Changlin Guo
- Publisher
- John Wiley and Sons
- Year
- 1998
- Tongue
- English
- Weight
- 438 KB
- Volume
- 27
- Category
- Article
- ISSN
- 0049-8246
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✦ Synopsis
An algorithm of single component prediction based on backward error propagation is proposed, in which only one component concentration in a multivariate system is predicted each time. The algorithm was compared with a multiple component prediction model. In general, the predictive accuracy of the single component prediction algorithm was superior to that of the multiple component prediction model. The e †ects of overÐtting, standard samples and model parameters on the predictive accuracy were also examined.