DocumentCode
279500
Title
Radar plots discrimination with neural networks
Author
Potier, C. ; Puzenat, D.
Author_Institution
Thomson-CSF/SDC, Paris, France
fYear
1992
fDate
12-13 Oct 1992
Firstpage
430
Lastpage
433
Abstract
This paper investigates and compares two statistical methods with supervised learning to compute the confidence level from the available attributes of a given plot. The first is a classical Bayes rule; the second is a neural network trained via the backpropagation algorithm
Keywords
Bayes methods; backpropagation; image recognition; learning (artificial intelligence); neural nets; radar displays; Bayes rule; backpropagation; neural network; radar plot discrimination; statistical methods; supervised learning;
fLanguage
English
Publisher
iet
Conference_Titel
Radar 92. International Conference
Conference_Location
Brighton
Print_ISBN
0-85296-553-2
Type
conf
Filename
187135
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