Application of Artificial Neural Networks in Differential Thermal Analysis of Inorganic Compounds

Abstract

Thermal decomposition of inorganic compounds have been analyzed by simultaneous differential thermal analysis (DTA) method Also phase transitions and critical points have been investigated. Additionally a computer model based on backpropagation multilayer feed-fonvard artificial neural networks (ANNs) have been used for the stimulation and prediction of critical points and phase transitions of inorganic compounds. Experimental data and output values of artificial neural networks have been compared and ANN predictions showed a considerably good result due to some unjustified data values and ANN predictions concurred with each other.