A Fuzzy ARTMAP-Based Quantitative Structure−Property Relationship (QSPR) for Predicting Physical Properties of Organic Compounds
- 16 May 2001
- journal article
- Published by American Chemical Society (ACS) in Industrial & Engineering Chemistry Research
- Vol. 40 (12) , 2757-2766
- https://doi.org/10.1021/ie0008068
Abstract
No abstract availableKeywords
This publication has 36 references indexed in Scilit:
- A massively parallel architecture for a self-organizing neural pattern recognition machinePublished by Elsevier ,2005
- The simulation and interpretation of free turbulence with a cognitive neural systemPhysics of Fluids, 2000
- Quantitative Structure−Property Relationships for the Estimation of Boiling Point and Flash Point Using a Radial Basis Function Neural NetworkJournal of Chemical Information and Computer Sciences, 1999
- An ART-based modular architecture for learning hierarchical clusteringsNeurocomputing, 1996
- Boiling Point and Critical Temperature of a Heterogeneous Data Set: QSAR with Atom Type Electrotopological State Indices Using Artificial Neural NetworksJournal of Chemical Information and Computer Sciences, 1996
- Electrotopological State Indices for Atom Types: A Novel Combination of Electronic, Topological, and Valence State InformationJournal of Chemical Information and Computer Sciences, 1995
- Molecular Modeling by Linear Combinations of Connectivity IndexesThe Journal of Physical Chemistry, 1995
- Computer-assisted prediction of normal boiling points of furans, tetrahydrofurans, and thiophenesJournal of Chemical Information and Computer Sciences, 1991
- Fuzzy ART: Fast stable learning and categorization of analog patterns by an adaptive resonance systemNeural Networks, 1991
- ESTIMATION OF PURE-COMPONENT PROPERTIES FROM GROUP-CONTRIBUTIONSChemical Engineering Communications, 1987