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应用神经网络建立连铸钢水温度预报模型，重点研究了转炉出钢到中间包浇铸区间的温度变化，确定钢水温降与其影响因素之间的非线性映射关系.本模型能较准确地预报连铸钢水温度
The temperature prediction model of continuous casting molten steel was set up by using neural network and the temperature change during tapping from converter to tundish was studied emphatically.The nonlinear relationship between the temperature drop of molten steel and its influential factors was determined.The model can predict more accurately Casting steel temperature