Quantitative analysis of paper coatings using artificial neural networks-Reference-Cited by-同舟云学术

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Quantitative analysis of paper coatings using artificial neural networks

Published:1997-04 Issue:2 Volume:36 Page:125-140
ISSN:0169-7439
Container-title:Chemometrics and Intelligent Laboratory Systems
language:en
Short-container-title:Chemometrics and Intelligent Laboratory Systems

Author:

Dolmatova Ludmila,Ruckebusch Cyril,Dupuy Nathalie,Huvenne Jean-Pierre,Legrand Pierre

Publisher

Elsevier BV

Subject

Spectroscopy,Process Chemistry and Technology,Computer Science Applications,Software,Analytical Chemistry

Reference29 articles.

1. Particle Size and Shape Effects in Materials Science: Examples from Polymer and Paper Systems

2. Chemometrics

3. Pulp and Paper

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1. Process modeling and parameter optimization of surface coatings using artificial neural networks (ANNs): State-of-the-art review;Materials Today: Proceedings;2021

2. Determination of calcium carbonate and styrene-butadiene latex content in the coating layer of coated paper;Journal of Industrial and Engineering Chemistry;2014-07

3. Artificial neural networks: applications in chemical engineering;Reviews in Chemical Engineering;2013-01-01

4. Comparative Study of Multivariate Methods to Identify Paper Finishes Using Infrared Spectroscopy;IEEE Transactions on Instrumentation and Measurement;2012-04

5. Comparative Effect of Hydrophilic and Lipophilic Nanosized Titanium Dioxide on the Properties of Coated Paper;Advanced Materials Research;2012-01

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