人工神经网络在高炉热状态预报中的应用

Application of Neural Network to the Forecast of Heat State of a Blast Furnace

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．

t is very important to recognize and forecast the heat state of a blast furnace in its operation. The data are usually identified visually by skilled experts. However, recent neural network technology is expected to enable new possibilities for artificial forecast of heat state data in good agreement with human statistical parameter.In this paper,applications of a backpropagation type neural network system to the forecast models of heat state at a blast furnace are investigated.