Neural Networks in Analytical Chemistry

2008 ◽  
pp. 78-118 ◽  
Author(s):  
Mehdi Jalali-Heravi
Keyword(s):  
Analytical Chemistry ◽  
Neural Networks

scholarly journals Fuzzy logic and neural networks - Applications to analytical chemistry

1992 ◽  
Vol 64 (4) ◽  
pp. 497-502 ◽  
Author(s):  
M. Otto ◽  
Tatjana George ◽  
C. Schierle ◽  
W. Wegscheider
Keyword(s):  
Analytical Chemistry ◽  
Neural Networks ◽  
Fuzzy Logic

scholarly journals Chemometrics in analytical chemistry – an overview of applications from 2014 to 2018

2019 ◽  
Vol 44 (2) ◽  
pp. 11 ◽  
Author(s):  
Mônica Cardoso Santos ◽  
Paloma Andrade Martins Nascimento ◽  
Wesley Nascimento Guedes ◽  
Edenir Rodrigues Pereira-Filho ◽  
Érica Regina Filletti ◽  
...  
Keyword(s):  
Analytical Chemistry ◽  
Artificial Intelligence ◽  
Neural Networks ◽  
Artificial Neural Networks ◽  
Design Of Experiments ◽  
Factorial Design ◽  
Food Analysis ◽  
Multivariate Calibration ◽  
Routine Analysis ◽  
Chemometric Techniques

A compilation of papers published between 2014 and 2018 was evaluated. Many papers related to multivariate calibration and classification have been reported, as well as, design of experiments applications and artificial intelligence methods. Some applications were highlighted, as medical and pharmaceutical, food analysis, fuels, biological and forensic for the chemometric techniques on this review. Most studies are related to developing methods for practical solutions in industry or routine analysis. A promising scenario is shown considering the number of published papers: a total of 832 for this period using the keywords, multivariate classification, multivariate calibration, analysis, chemometrics, prediction, analytical chemistry, artificial neural networks (ANN), design of experiments (DoE) and factorial design. An useful overview for Analytical Chemistry researchers´ combined with Chemometrics is presented in this review.

Applications of Self-Organizing Maps to Address Environmental Studies

2010 ◽  
pp. 331-352
Author(s):  
M. P. Gómez-Carracedo ◽  
D. Ballabio ◽  
J. M. Andrade ◽  
R. Fernández-Varela ◽  
V. Consonni
Keyword(s):  
Analytical Chemistry ◽  
Neural Networks ◽  
Artificial Neural Networks ◽  
Soil Pollution ◽  
Road Traffic ◽  
Environmental Studies ◽  
Self Organizing Maps ◽  
Basic Principles ◽  
Atom Level ◽  
Self Organizing

An overview on the basic principles of Kohonen Self-Organizing Maps (SOMs), Counter-Propagation Artificial Neural Networks (i.e., a SOM with a supervised layer, called the Grossberg layer) and the so-called MOLecular Map of Atom-level Properties (MOLMAP) and their usefulness in analytical chemistry, particularly in the environmental field, was presented. Two case studies dealing with environmental studies of soil pollution by road traffic and sea pollution by spilled hydrocarbons were discussed in detail to exemplify different benefits derived from the use of these techniques.

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