Title :
Increase the validity of positional-binary recognition of cyclic signals with application of radial-basis functional neural network
Author :
Aliev, T.A. ; Nusratov, N.Q. ; Rzaev, R.R.
Author_Institution :
Inst. of Cybern., Baku, Azerbaijan
Abstract :
For increase of validity of a positional-binary method of cyclic signals recognition it is offered to use the radial-basis functional neural network allowing in the recognition process essentially to differentiate analyzed cyclic signals under time characteristics of their positional-pulse-width components locations.
Keywords :
radial basis function networks; signal detection; cyclic signal recognition; positional pulse width components; positional-binary recognition; radial basis functional neural network; Character recognition; Cybernetics; Feedforward neural networks; Informatics; MATLAB; Monitoring; Robustness;
Conference_Titel :
Application of Information and Communication Technologies (AICT), 2011 5th International Conference on
Conference_Location :
Baku
Print_ISBN :
978-1-61284-831-0
DOI :
10.1109/ICAICT.2011.6111019
