Prediction of power losses in transformer cores using feed forward neural network and genetic algorithm
Author:
Publisher
Elsevier BV
Subject
Applied Mathematics,Electrical and Electronic Engineering,Condensed Matter Physics,Instrumentation
Reference11 articles.
1. Geometrical factors affecting magnetic properties of wound toroidal cores
2. Dimensional factors affecting magnetic properties of wound cores
3. General properties of power losses in soft ferromagnetic materials
4. A novel system for rapid measurement of high-frequency magnetic properties of toroidal cores of different sizes
5. Mathematical model for estimation of dynamic losses of grain oriented 3% SiFe toroidal wound cores up to 1 kHz
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