Literature DB >> 10396805

Neural networks in multivariate calibration.

F Despagne1, D L Massart.   

Abstract

Mesh:

Year:  1998        PMID: 10396805     DOI: 10.1039/a805562i

Source DB:  PubMed          Journal:  Analyst        ISSN: 0003-2654            Impact factor:   4.616


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  21 in total

1.  Neural network and principal component regression in non-destructive soluble solids content assessment: a comparison.

Authors:  Kim-seng Chia; Herlina Abdul Rahim; Ruzairi Abdul Rahim
Journal:  J Zhejiang Univ Sci B       Date:  2012-02       Impact factor: 3.066

2.  Application of artificial neural networks for predicting the aqueous acidity of various phenols using QSAR.

Authors:  Aziz Habibi-Yangjeh; Mohammad Danandeh-Jenagharad; Mahdi Nooshyar
Journal:  J Mol Model       Date:  2005-12-13       Impact factor: 1.810

3.  Modeling of policies for reduction of GHG emissions in energy sector using ANN: case study-Croatia (EU).

Authors:  Tomislav Bolanča; Tomislav Strahovnik; Šime Ukić; Mirjana Novak Stankov; Marko Rogošić
Journal:  Environ Sci Pollut Res Int       Date:  2017-05-24       Impact factor: 4.223

4.  Cerebral metabolite differences in adolescents with low birth weight: assessment with in vivo proton MR spectroscopy.

Authors:  Tone F Bathen; Torill E Sjöbakk; Jon Skranes; Ann-Mari Brubakk; Torstein Vik; Marit Martinussen; Gunnar E Myhr; Ingrid S Gribbestad; David Axelson
Journal:  Pediatr Radiol       Date:  2006-05-16

5.  Application of a genetic algorithm and an artificial neural network for global prediction of the toxicity of phenols to Tetrahymena pyriformis.

Authors:  Aziz Habibi-Yangjeh; Mohammad Danandeh-Jenagharad
Journal:  Monatsh Chem       Date:  2009-10-13       Impact factor: 1.451

6.  Evolving neural network optimization of cholesteryl ester separation by reversed-phase HPLC.

Authors:  Michael A Jansen; Jacqueline Kiwata; Jennifer Arceo; Kym F Faull; Grady Hanrahan; Edith Porter
Journal:  Anal Bioanal Chem       Date:  2010-05-21       Impact factor: 4.142

7.  Modeling of ammonia emission in the USA and EU countries using an artificial neural network approach.

Authors:  Lidija J Stamenković; Davor Z Antanasijević; Mirjana Đ Ristić; Aleksandra A Perić-Grujić; Viktor V Pocajt
Journal:  Environ Sci Pollut Res Int       Date:  2015-07-24       Impact factor: 4.223

Review 8.  Gas sensors based on mass-sensitive transducers. Part 2: Improving the sensors towards practical application.

Authors:  Alexandru Oprea; Udo Weimar
Journal:  Anal Bioanal Chem       Date:  2020-07-31       Impact factor: 4.142

9.  Implementation of neural networks for classification of moss and lichen samples on the basis of gamma-ray spectrometric analysis.

Authors:  Snezana Dragović; Antonije Onjia; Ranko Dragović; Goran Bacić
Journal:  Environ Monit Assess       Date:  2006-10-21       Impact factor: 3.307

10.  Potentiometric electronic tongue to resolve mixtures of sulfide and perchlorate anions.

Authors:  Deivy Wilson; Mohammed N Abbas; Abdel Latief A Radwan; Manel del Valle
Journal:  Sensors (Basel)       Date:  2011-03-16       Impact factor: 3.576

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