Prediction of Influence of Doping of NaNO_3 on the Solid Phase Thermal Decomposition of Bitumen using neural networks

摘要

This study presents an application of artificial neural networks (ANN) for the prediction of the thermal stability of solidified NaN03 salts in bitumen has been investigated for safety considerations in the field of solidification of radioactive waste. The thermal decomposition of bitumen in presence of NaN03 in a temperature range 22.650℃ has been used. The proposed ANN model uses the NaNO3 concentration and temperature (℃). In this research data's are modelled and analyzed by Multi Layer Perceptron network (MLP). Predictions made by this method are compared with real data's. The results of parametric analyses were used to evaluate Mass loss of bitumen in a quite well manner. It can be concluded that MLP predictions are compatible with the actual data and they yield acceptable predictions.