Prediction of Hysteresis Loop of Barium Hexaferrite Nanoparticles Based on Neuroevolutionary Models

Neuroevolutionary models are used to predict magnetic hysteresis for barium hexaferrites (to hexaferrites). Magnetic a specific set of samples hexaferrite doped with titanium were measured experimentally at room temperature and reported before. Neural networks trained using these experimental data in order generate magnetization various concentrations titanum. We present the prediction methods neural calculations deviations from actual results negligible. Finally, predictions summerized titanume concentration between 0.0 1.0.