Abstract: This study was aimed to provide cost effective solution for the prediction of changes during the thermo mechanical process like rolling as well as to provide accurate and optimized information about the product properties such as grain size. The primary goal of neuro computing for micro structural analysis was to assists the metallurgist. A proper optimization of this process normally depends upon a combination of experience and expensive trials. The final microstructure was dependant on many parameters such as alloy composition, working temperature, local compression rate. Multi layer neural network was used with error back propagation as a learning algorithm. By using this technique it gave us optimized results.