Neural network approach to identify thermal deformation of machining center

Moriwaki, Toshimichi; Zhao, Chenghe

doi:10.1016/b978-0-444-89465-6.50062-4

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Cited by 11 publications

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“…Solving Equations (15) and (16) for the weights results in X2-2X2X '1 = 2(X1-X2) =ax2+bx, (17) -X2 +2X1X =CX2+* W2= 2(X1-X2) .…”

Section: (8)mentioning

confidence: 99%

Error compensation for thermally induced errors on a machine tool

Krulewich¹

1996

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N_*w=-=a=c-t &w*~byma~y&ti Udti_@~t. Neither theunitedstatesGoVemment na theuniver4tyof CaMOrma ' noranyof theiremployees, makesanywarranty, express or impli~or assumesany legal liability or responsibilityfir the accuracy, completeness,or uaeWwas of any MOrmatimapparatus, pduct, or processdisclaed or representsthatits use would not infringeprivatelyowned rights. Referenceherein to any specific commeraal product, process, or service by trade name, trademark, manufactum, or OtherwE " ,doesnotneceasd " y constituteor imply ik endomxnen t, recommendation, or tkvoiing by the United States Government or the University of CaMornia. The viewa and opiniom of authors expmesed herein do not necaaaarilyatate or reflect those of the United Statea Goverrmvmt m the University of Califod& and sldl not be used fbr advertising or product endorsement purposes. 'nliareporthaabe mreproduced directly from the best availablecopy.

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“…Solving Equations (15) and (16) for the weights results in X2-2X2X '1 = 2(X1-X2) =ax2+bx, (17) -X2 +2X1X =CX2+* W2= 2(X1-X2) .…”

Section: (8)mentioning

confidence: 99%