Prediction of EVA Plastic's Expansion Ratio Based on BP Neural Network
2013 ◽
Vol 364
◽
pp. 529-533
Keyword(s):
Combined with Taguchi method of experimental design and BP neural network technology, select process parameters including molding temperature, molding time and injection pressure, Taguchi experiments are respectively arranged for different diameters of sphere and cylinder, different side lengths of tri-prism and quadrangular prism, different thicknesses of thin sheet without hole and with hole etc. molds, then these experiment results are used as neural network sample data, and expansion ratio of EVA plastic can be predicted more accurately after neural network is trained.
2012 ◽
Vol 4
(22)
◽
pp. 115-128
◽
2012 ◽
Vol 204-208
◽
pp. 2449-2454
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2012 ◽
Vol 4
◽
pp. 168-174
◽
Keyword(s):
2014 ◽
Vol 543-547
◽
pp. 2128-2132
2021 ◽
Vol 2004
(1)
◽
pp. 012015
Keyword(s):
Keyword(s):
2011 ◽
Vol 314-316
◽
pp. 1254-1257
Keyword(s):
Keyword(s):