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ISSN electronic edition: 1336-9075
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An application of neural networks in chemistry

V. Kvasnička

Department of Mathematics, Faculty of Chemical Technology, Slovak Technical University, CS-81237 Bratislava

 

Abstract: Basic definitions of the N-layer neural network are given. Partial derivatives of the objective functions with respect to the weight and threshold coefficients are derived. These derivatives are valuable for an adaptation process of the considered neural network, the resulting optimal weight and threshold coefficients are used in the forthcoming active process. The neural network may be applied as a classifier of objects. The theory is illustrated by an application of three-layer neural network to the classification of 13C NMR chemical shifts of acyclic alkanes.

Full paper in Portable Document Format: 446a775.pdf

 

Chemical Papers 44 (6) 775–792 (1990)

Monday, July 26, 2021

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