Title :
Electromagnetic device performance identification using knowledge based neural networks
Author :
Dandurand, Frederic ; Lowther, David A.
Author_Institution :
Dept. of Electr. Eng., McGill Univ., Montreal, Que., Canada
fDate :
5/1/1999 12:00:00 AM
Abstract :
A knowledge based artificial neural network which represents the design equations of an electromagnetic device is described. The network architecture is based on a rule set developed from a simple algebraic model of the device, The system is then revised by using numerical solutions as training sets to remove the assumptions built in by the algebraic system
Keywords :
CAD; electrical engineering computing; electromagnetic devices; knowledge based systems; learning (artificial intelligence); neural nets; computer simulation; design equations; electromagnetic device performance identification; knowledge based neural networks; network architecture; numerical solutions; training sets; Artificial neural networks; Electromagnetic devices; Equations; Linearity; Modems; Neural networks; Numerical analysis; Process design; Response surface methodology; Shape;
Journal_Title :
Magnetics, IEEE Transactions on
