By using the air temperature measured by thermocouples and the glass temperature measured by infrared thermometer as the training sample , a model for prediction of the temperature parameters for the float glass in lehr was created based on the ameliorated BP neural network. The results of simulation show that the model is effective and feasible. It can improve the quality of the annealing process and diagnose some failures.