Neural Network Based Quantitative Structural Property Relations (QSPRs) for Predicting Boiling Points of Aliphatic Hydrocarbons-Reference-Cited by-同舟云学术

Neural Network Based Quantitative Structural Property Relations (QSPRs) for Predicting Boiling Points of Aliphatic Hydrocarbons

Published:2000-04-14 Issue:3 Volume:40 Page:859-879
ISSN:0095-2338
Container-title:Journal of Chemical Information and Computer Sciences
language:en
Short-container-title:J. Chem. Inf. Comput. Sci.

Author:

Espinosa Gabriela¹,Yaffe Denise¹,Cohen Yoram¹,Arenas Alex¹,Giralt Francesc¹

Affiliation:

1. Departament d'Enginyeria Química, ETSEQ and Departament d'Enginyeria Informàtica, ETSE, Universitat Rovira i Virgili, 43006 Tarragona, Catalunya, Spain, and Department of Chemical Engineering, University of California, Los Angeles, Los Angeles, California 90095-1592

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/ci000442u

Reference40 articles.

1. GRAPH III: A computer program for calculating molecular connectivity indices on microcomputers

2. Characterization of molecular branching

3. Raman Spectra of Aqueous Solutions of Potassium Thiocyanate

4. A Method for Determining the Theoretical Carcinogenicity of Polycyclic Aromatic Hydrocarbons

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