在高炉操作过程中，高炉热状态的判断与预测是极为重要的，这些状态数值的预测过去常依靠经验识别．近年来，随着人工神经网络技术的发展，于是开发一种高炉热状态人工神经网络预测模型已成为必然趋势．本文应用反馈式人工神经网络对高炉热状态预测模型进行了研究． During the operation of the blast furnace, it is extremely important to judge and predict the thermal state of the blast furnace, and the prediction of these state values ​​has traditionally been based on empirical recognition. In recent years, with the development of artificial neural network technology, it has become an inevitable trend to develop a predictive model of artificial neural network for blast furnace thermal state. In this paper, feedback artificial neural network is used to study the thermal state prediction model of blast furnace.