Neural network models for infrared spectrum interpretation

Autor:	Ernest W. Robb, Morton E. Munk, Mark S. Madison
Rok vydání:	1991
Předmět:	Training set Artificial neural network business.industry Infrared Chemistry Training time Analytical chemistry Infrared spectroscopy Pattern recognition Analytical Chemistry Interpretation (model theory) Simple linear model Artificial intelligence Layer (object-oriented design) business
Zdroj:	Mikrochimica Acta. 104:505-514
ISSN:	1436-5073 0026-3672
DOI:	10.1007/bf01245535
Popis:	A neural network model having a layer of hidden units is described which can identify functional groups in organic compounds, based on their infrared spectra. This network shows substantially better performance than the simple linear model reported earlier. The effect of the training set size and composition, the number of hidden units used, and the training time were studied.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::cc976567f4beede9da11c10890884f3b https://doi.org/10.1007/bf01245535 Zobrazit plný text záznamu Full text from SpringerLink