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Keywords: load prediction
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Journal Articles
Publisher: ASTM International
Article Type: Research-Article
J. Test. Eval.. September 2005, 33(5): 340–347.
Published Online: September 1, 2005
... to the network included a categorical variable for the epoxy type together with the amplitude frequencies from 30–100 dB. The optimized network contained two hidden layers having nine neurons apiece. Here the ultimate load prediction was within 48 lbf for a 9.5 % error. Thus, the back-propagation neural network...