Abstract
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 TeO2V2O5, TeO2WO3, TeO2WO3PbO, TeO2V2O5Bi2O3 and TeO2WO3K2O. 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.