Simulation of acoustic properties of some tellurite glasses

The Artificial Neural Network (ANN) technique is introduced in the current study to simulate and predict density, longitudinal and shear ultrasonic velocities and elastic moduli for some tellurite glasses. The compositions of the 26 tellurite glasses were in the form of TeO2single bondV2O5, TeO2single bondWO3, TeO2single bondWO3single bondPbO, TeO2single bondV2O5single bondBi2O3 and TeO2single bondWO3single bondK2O. The ANN results were found to be in successful good agreement with those of experimentally measured parameters. It is evident that the slopes, intercepts and correlation factors are very sensitive to the type of the modifier.