Artificial Neural Networks Associated to Calorimetric Measurements Used as a Method to Predict Polymer Composition of High Solid Content Emulsion Copolymerizations-Reference-Cited by-同舟云学术

Artificial Neural Networks Associated to Calorimetric Measurements Used as a Method to Predict Polymer Composition of High Solid Content Emulsion Copolymerizations

Published:2005-05-23 Issue:5 Volume:290 Page:485-494
ISSN:1438-7492
Container-title:Macromolecular Materials and Engineering
language:en
Short-container-title:Macromol. Mater. Eng.

Author:

Giordani Domingos Sávio,Lona Liliane M. F.,McKenna Timothy F.,Krähenbühl Maria A.,dos Santos Amilton Martins

Publisher

Wiley

Subject

Materials Chemistry,Polymers and Plastics,Organic Chemistry,General Chemical Engineering

Reference30 articles.

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4. A systematic approach to the study of multicomponent polymerization kinetics?the butyl acrylate/methyl methacrylate/vinyl acetate example: 1. Bulk copolymerization

5. On-line control of a semibatch emulsion polymerization reactor based on calorimetry

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