DocumentCode :
3197117
Title :
Neural network trends for frequency control: a review
Author :
Hivert, B. ; Brendel, R.
Author_Institution :
Lab. de Phys. et Metrol. des Oscillateurs, CNRS, Besancon, France
fYear :
1995
fDate :
31 May-2 Jun 1995
Firstpage :
10
Lastpage :
19
Abstract :
The purpose of this paper is first, to give the reader a comprehensive “state of the art” in the neural networks field, then to discuss what kind of help such processing techniques may bring in the frequency control area. So, we will give basic considerations about neural networks, explaining their principle. Then, we will show how they work and what kind of task they might perform, principally from the point of view of function approximation and pattern recognition. We will use this background to show some applications and to be critical on how neural networks may be used. Then, a review of frequency control fields where neural networks may be applied will be presented. In order to let the reader make up their own opinion, particular attention will be paid to the literature
Keywords :
frequency control; function approximation; neural nets; pattern recognition; frequency control; function approximation; neural networks; pattern recognition; Artificial neural networks; Biological cells; Biological neural networks; Cells (biology); Frequency control; Function approximation; Neural networks; Neurons; Pattern recognition; Vocabulary;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Frequency Control Symposium, 1995. 49th., Proceedings of the 1995 IEEE International
Conference_Location :
San Francisco, CA
Print_ISBN :
0-7803-2500-1
Type :
conf
DOI :
10.1109/FREQ.1995.483878
Filename :
483878
Link To Document :
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