title: Optimization of chemical libraries by neural networks.
abstract: Neural networks are finding ever-more applications in the design of combinatorial libraries. These can be divided into two types: Kohonen (self-organizing) maps, and feed-forward networks. While the number of applications is currently quite limited, a rapid increase in publications in this area can be expected in the next few years from the rapid development of general combinatorial chemistry technology.
authors.affiliation: ZHF/G - A 30, BASF Aktiengesellschaft, Ludwigshafen, D-67056, Germany. Sadowski@zhs4.zh.basf-ag.de
authors.forename: J
authors.initials: J
authors.lastname: Sadowski
mesh_terms: D020650:Combinatorial Chemistry Techniques; D016571:Neural Networks, Computer