Process estimated temperature model of molten steel in LF based on BP neural network combined with expert system
Applied Mechanics and Materials（2011）
摘要
The process estimated temperature model of molten steel is based by analyzing the various factors which influence the rise and fall temperature of molten steel and the arts and crafts process of the production. The model has been used to estimate the temperature of molten steel in LF refining. And results of statistic analysis on estimated temperature show when the deviation of process estimated temperature by this model in LF refining is on more than +/- 5 degrees C to the measured temperature, the hitting probability arrives at 85%.
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关键词
estimated temperature,neural networks,expert system
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