Title :
Radar plots discrimination with neural networks
Author :
Potier, C. ; Puzenat, D.
Author_Institution :
Thomson-CSF/SDC, Paris, France
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;
Conference_Titel :
Radar 92. International Conference
Conference_Location :
Brighton
Print_ISBN :
0-85296-553-2
