Application of Neural Networks to Modeling and Estimating Temperature-Dependent Liquid Viscosity of Organic Compounds-Reference-Cited by-同舟云学术

Application of Neural Networks to Modeling and Estimating Temperature-Dependent Liquid Viscosity of Organic Compounds

Published:2001-05-01 Issue:3 Volume:41 Page:776-790
ISSN:0095-2338
Container-title:Journal of Chemical Information and Computer Sciences
language:en
Short-container-title:J. Chem. Inf. Comput. Sci.

Author:

Suzuki Takahiro¹,Ebert Ralf-Uwe¹,Schüürmann Gerrit¹

Affiliation:

1. Chemical Resources Laboratory, Tokyo Institute of Technology, 4259 Nagatsuta, Midori-ku, Yokohama 226-8503, Japan, and Department of Chemical Ecotoxicology, UFZ Centre for Environmental Research, Permoserstrasse 15, D-04318 Leipzig, Germany

Publisher

American Chemical Society (ACS)

Subject

Computational Theory and Mathematics,Computer Science Applications,Information Systems,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/ci000154y

Reference27 articles.

1. Applications of quantitative structure—property relationships to pharmaceutics

2. Viscosity: A critical review of practical predictive and correlative methods

3. Computer-assisted approach to develop a new prediction method of liquid viscosity of organic compounds

4. Development of Both Linear and Nonlinear Methods To Predict the Liquid Viscosity at 20 °C of Organic Compounds

5. Estimation of the Liquid Viscosity of Organic Compounds with a Quantitative Structure−Property Model

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