DocumentCode
2123931
Title
Method of spectrogram recognition by artificial neural network
Author
Orlikov, N.L. ; Petrakov, R.S.
Author_Institution
Tomsk State Univ. of Control Syst. & Radioelectronics, Russia
fYear
2001
fDate
2001
Firstpage
55
Lastpage
57
Abstract
Methods of spectrogram recognition by artificial neural network based on sigmoid, linear and stepped functions are considered. It is shown that the application of neural technologies essentially simplifies the interfacing of technological devices with computers. In the spectrum analysis problem, using the artificial neural network in the case of spectrogram imposition gives more exact results than statistical methods
Keywords
neural nets; pattern recognition; spectral analysis; spectroscopy; artificial neural network; linear functions; neural technologies; sigmoid functions; spectrogram recognition; spectrum analysis; statistical methods; stepped functions; Artificial neural networks; Control systems; Decoding; Electronic mail; Gases; Hardware; Neural networks; Neurons; Radio control; Spectrogram;
fLanguage
English
Publisher
ieee
Conference_Titel
Modern Communication Technologies, 2001. SIBCOM-2001. The IEEE-Siberian Workshop of Students and Young Researchers
Conference_Location
Tomsk
Print_ISBN
0-7803-6611-5
Type
conf
DOI
10.1109/SIBCOM.2001.977514
Filename
977514
Link To Document