TY - JOUR
AU - Misakov, Pulat Y.
AB - The method of data analysis in intracavity laser spectroscopy is considered. The artificial neural network was used as an analyzing tool for the determination of elements concentration in trace amounts samples using absorption spectra. The special neural network training algorithm based on simulation of experimental spectra was developed to solve the problem of non-sufficient experimental data set. The application of this method allows achieve the better sensitivity than conventional analytical methods and proved itself more robust. The proposed method was tested on spectra of Cs water solution.
TI - Neural network data analysis for intracavity laser spectroscopy
JF - Proceedings of SPIE
DO - 10.1117/12.518070
DA - 2003-09-05
UR - https://www.deepdyve.com/lp/spie/neural-network-data-analysis-for-intracavity-laser-spectroscopy-gXpkJn7VCW
SP - 61
EP - 69
VL - 5135
IS - 1
DP - DeepDyve
ER -