Published May 2002
| Version v1
Journal article
The comparison of BP and OLAM neural network analysis of X-ray fluorescence spectra
- 1. Sichuan Univ., Chengdu (China). Inst. of Nuclear Science and Technology
Description
The author described two kinds of artificial neural network: Back Propagation and Optimal Linear Associative Memory. Both of them were used to analyze the X-ray fluorescence spectra of cement raw material sample, satisfactory results were obtained with the OLAM network and detail comparison of them was discussed
Additional details
Additional titles
- Augmented title (English)
- The BP is stated for Back Propagation. The OLAM is stated for Optimal Linear Associative Memory
Publishing Information
- Journal Title
- Nuclear Electronics and Detection Technology
- Journal Volume
- 22
- Journal Issue
- 3
- Journal Page Range
- p. 247-250
- ISSN
- 0258-0934
INIS
- Country of Publication
- China
- Country of Input or Organization
- China
- INIS RN
- 33061575
- Subject category
- S37: INORGANIC, ORGANIC, PHYSICAL AND ANALYTICAL CHEMISTRY; S07: ISOTOPES AND RADIATION SOURCES;
- Descriptors DEI
- ALGORITHMS; CEMENTS; COMPARATIVE EVALUATIONS; NEURAL NETWORKS; SPECTRA UNFOLDING; X-RAY FLUORESCENCE ANALYSIS; X-RAY SPECTRA; X-RAY SPECTROSCOPY
- Descriptors DEC
- BUILDING MATERIALS; CHEMICAL ANALYSIS; DATA PROCESSING; EVALUATION; MATERIALS; MATHEMATICAL LOGIC; NONDESTRUCTIVE ANALYSIS; PROCESSING; SPECTRA; SPECTROSCOPY; X-RAY EMISSION ANALYSIS