DocumentCode :
2731155
Title :
A neural net solution of a real-world engineering problem
Author :
Younger, A.S.
Author_Institution :
OEC-Diasonics, Salt Lake City, UT
fYear :
1991
fDate :
8-14 Jul 1991
Abstract :
Summary form only given. The author investigated whether a neural net trained with computer model generated training data can be used to solve every day, practical real-world problems that arise in engineering. A study involving a specific problem suggests that the answer is a qualified `yes´. The neural net solution worked very well within the context of the computer model, but did not perform nearly as well in the real-world system. Final training using data from the actual system may be needed for optimum performance
Keywords :
engineering computing; neural nets; computer model generated training data; neural net solution; practical real-world problems; real-world engineering problem; Automata; Cities and towns; Computer networks; Context modeling; Data engineering; Drives; Hardware; Humans; 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.1991.155497
Filename :
155497
Link To Document :
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