%0 Journal Article %1 Saliah-Hassane2000generalized %A Saliah-Hassane, Hamadou %A Lowther, David A. %A Forghani, Behzad %D 2000 %E IEEE, %J IEEE Transactions on Magnetics %K Electromagnetic Magnetic Magnetization Neural Temperature coupling curve dependence devices networks properties %N 4 %P 1250-1253 %T Generalized material models for coupled magnetic analysis %U http://ieeexplore.ieee.org/Xplore/login.jsp?url=/iel5/20/19005/00877667.pdf?arnumber=877667 %V 36 %X The solution of coupled magnetic and thermal systems is important for the design of many electromagnetic devices. To achieve this, it is important to have an effective material model. This paper proposes a general material model based on a neural network which can take into account the temperature dependence of the magnetization curve

@article{Saliah-Hassane2000generalized, abstract = {The solution of coupled magnetic and thermal systems is important for the design of many electromagnetic devices. To achieve this, it is important to have an effective material model. This paper proposes a general material model based on a neural network which can take into account the temperature dependence of the magnetization curve}, added-at = {2009-11-18T05:32:30.000+0100}, author = {Saliah-Hassane, Hamadou and Lowther, David A. and Forghani, Behzad}, biburl = {https://www.bibsonomy.org/bibtex/2792d30c2639bfb922097f2ef0e4620af/saliah}, editor = {IEEE}, interhash = {4daace7c48f1e876906239517f7903b2}, intrahash = {792d30c2639bfb922097f2ef0e4620af}, journal = {IEEE Transactions on Magnetics}, keywords = {Electromagnetic Magnetic Magnetization Neural Temperature coupling curve dependence devices networks properties}, month = {July}, number = 4, pages = {1250-1253}, timestamp = {2009-11-18T05:32:31.000+0100}, title = {Generalized material models for coupled magnetic analysis}, url = {http://ieeexplore.ieee.org/Xplore/login.jsp?url=/iel5/20/19005/00877667.pdf?arnumber=877667}, volume = 36, year = 2000 }