1977
DOI: 10.1109/tmag.1977.1059504
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Three-dimensional finite element program for magnetic field problems

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Cited by 11 publications
(7 citation statements)
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“…During training, the magnetostatic energy is minimized by adjusting the weights of the network. This approach is similar to the Ritz method for computing the magnetic field: However, instead of finite element basis functions [19], we use dense neural networks [17] to approximate the unkowns. Again we can introduce the magnetization as additional unknown and approximate it with a set of neural networks.…”
Section: Introductionmentioning
confidence: 99%
“…During training, the magnetostatic energy is minimized by adjusting the weights of the network. This approach is similar to the Ritz method for computing the magnetic field: However, instead of finite element basis functions [19], we use dense neural networks [17] to approximate the unkowns. Again we can introduce the magnetization as additional unknown and approximate it with a set of neural networks.…”
Section: Introductionmentioning
confidence: 99%
“…In the fourth Chapter, the Rayleigh-Ritz method is applied for the On the other hand the results of papers [30] , [31] , [ 65]…”
Section: Discussionmentioning
confidence: 99%
“…"Αν καί οι περιπτώσεις έφαρμονής τών μεθόδων του λονισμού τών μετα βολών στά προβλήματα του ηλεκτρομαγνητικού πεδίου ήταν μέχρι τελευταία πολύ περιορισμένες καί αναφέρονταν κυρίως σέ προβλήματα μεταδόσεως κύμα τος μέσω κυματοδηγών, στή μελέτη της τροχιάς φορτισμένων σωματιδίων καί σέ προβλήματα συντονιστών [58], [851, εντούτοις, ή τελευταία δεκαετία έ χει ν" επιδείξει ενα σημαντικό αριθμό εργασιών πού χρησιμοποιούν τις πιό -2πάνω μεθόδους,Σάν πιό αντιπροσωπευτικές μπορεί νά αναφερθούν οL εργασίες [6], [19] , [30] , [31] , [64], [66] , [73] , [74] , [75] , [92] .…”
Section: σύντομη αναδρομήunclassified
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