DocumentCode :
2730808
Title :
Neural network signal classifier with uncertain output rejection algorithm
Author :
Iwamoto, M. ; Okada, T. ; Kondoh, M.
Author_Institution :
Mitsubishi Electr. Corp., Kamakura, Japan
fYear :
1991
fDate :
8-14 Jul 1991
Abstract :
Summary form only given. An algorithm which rejects the uncertain output data in a neural network signal classifier was discussed. Computer simulation was carried out for the case of radar clutter pattern classification, and it was shown that classification accuracy improved compared with that of the conventional one
Keywords :
computerised pattern recognition; digital simulation; neural nets; radar clutter; telecommunications computing; classification accuracy; neural network signal classifier; radar clutter pattern classification; simulation; uncertain output data; uncertain output rejection algorithm; Cities and towns; Clutter; Computer networks; Context modeling; Data engineering; Drives; Humans; Laboratories; Neural networks; Training data;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks, 1991., IJCNN-91-Seattle International Joint Conference on
Conference_Location :
Seattle, WA
Print_ISBN :
0-7803-0164-1
Type :
conf
DOI :
10.1109/IJCNN.1991.155495
Filename :
155495
Link To Document :
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