@article{(Open Science Index):https://publications.waset.org/pdf/9999550,
	  title     = {Application of Adaptive Neural Network Algorithms for Determination of Salt Composition of Waters Using Laser Spectroscopy},
	  author    = {Tatiana A. Dolenko and  Sergey A. Burikov and  Alexander O. Efitorov and  Sergey A. Dolenko},
	  country	= {},
	  institution	= {},
	  abstract     = {In this study, a comparative analysis of the approaches
associated with the use of neural network algorithms for effective
solution of a complex inverse problem – the problem of identifying
and determining the individual concentrations of inorganic salts in
multicomponent aqueous solutions by the spectra of Raman
scattering of light – is performed. It is shown that application of
artificial neural networks provides the average accuracy of
determination of concentration of each salt no worse than 0.025 M.
The results of comparative analysis of input data compression
methods are presented. It is demonstrated that use of uniform
aggregation of input features allows decreasing the error of
determination of individual concentrations of components by 16-18%
on the average.
},
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {8},
	  number    = {10},
	  year      = {2014},
	  pages     = {1345 - 1351},
	  ee        = {https://publications.waset.org/pdf/9999550},
	  url   	= {https://publications.waset.org/vol/94},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 94, 2014},
	}