Quantitative analysis of open-path FTIR spectra by using artificial neural networks

2006 ◽  
Author(s):  
Susana Briz ◽  
Esteban García-Cuesta ◽  
Isabel Fernández-Gómez ◽  
Antonio J. de Castro
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Quantitative Analysis ◽  
Ftir Spectra ◽  
Open Path ◽  
Artificial Neural

scholarly journals Kohonen artificial neural networks and the IndVal index as supplementary tools for the quantitative analysis of palaeoecological data

2017 ◽  
Vol 44 (1) ◽  
pp. 111
Author(s):  
Mateusz Płóciennik ◽  
Andrzej Kruk ◽  
Danuta J. Michczyńska ◽  
H. John B. Birks
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Quantitative Analysis ◽  
Artificial Neural

Establish an Artificial Neural Networks Model to Make Quantitative Analysis about the Capillary Electrophoresis Spectrum

2012 ◽  
Vol 452-453 ◽  
pp. 1116-1120
Author(s):  
Hong Ping Li ◽  
Hong Li
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
Capillary Electrophoresis ◽  
Artificial Neural Networks ◽  
Quantitative Analysis ◽  
Network Model ◽  
Neural Network Model ◽  
Network Training ◽  
Dissociation Degree ◽  
Artificial Neural

Simulating the overlapping capillary electrophoresis spectrogram under the dissimilar conditions by the computer system , Choosing the overlapping capillary electrophoresis spectrogram simulated under the different conditions , processing the data to compose a neural network training regulations, Applying the artificial neural networks method to make a quantitative analysis about the multi-component in the overlapping capillary electrophoresis spectrogram,Using: Radial direction primary function neural network model and multi-layered perceptron neural network model. The findings indicated that, along with the increasing of the capillary electrophoresis spectrogram noise level, the related components’ ability of the two kinds of the overlapping capillary electrophoresis spectrogram by neural network model quantitative analysis drop down. Along with the increasing of the capillary electrophoresis spectrogram’s total dissociation degree, the multi-layered perceptron neural network model to the related components’ ability of the overlapping capillary electrophoresis spectum by quantitative analysis raise up.

Quantitative analysis of paper coatings using artificial neural networks

1997 ◽  
Vol 36 (2) ◽  
pp. 125-140 ◽  
Author(s):  
Ludmila Dolmatova ◽  
Cyril Ruckebusch ◽  
Nathalie Dupuy ◽  
Jean-Pierre Huvenne ◽  
Pierre Legrand
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Quantitative Analysis ◽  
Paper Coatings ◽  
Artificial Neural
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