Location of amide I mode of vibration in computed data utilizing constructed neural networks

Authors:
G. V. Papamokos;I. G. Tsoulos;I. N. Demetropoulos;E. Glavas
Affiliations:
Department of Informatics and Telecommunications Engineering, Section of Applied Informatics, University of West Macedonia, Vermiou and Lygerhs Street, Kozani, GR 50100, Greece;Department of Computer Science, University of Ioannina, 45110 Ioannina, Greece;Department of Informatics and Telecommunications Engineering, Section of Applied Informatics, University of West Macedonia, Vermiou and Lygerhs Street, Kozani, GR 50100, Greece;Department of Communications, Informatics and Management, Technological Educational Institute of Epirus, Greece
Venue:
Expert Systems with Applications: An International Journal
Year:
2009

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Abstract

An automatic location method of amide I mode of vibration between computed data is proposed, based on the well established neural network model of artificial intelligence. This method was developed by constructing and testing the neural network on previously computed and characterized data which were divided in the training and the testing set, respectively. The results show high level of success since the majority of amide I modes of vibration in the testing set were located 99.5%.