In this study, an ANN model was developed for prediction of the cold spot temperature profile during retort processing using starch dispersion (STD) as a model food. STD is selected because it shows broken-heating behavior depending on conditions. The ANN model was trained with various temperature profiles including broken-heating behaviors to make it applicable to any situation encountered in retort processing of STDs.