Converting Furnace Endpoint Prediction Model Based on Neural Network and Adaptive Error Compensation
炼铜转炉吹炼终点的神经网络和自适应残差补偿组合预报模型

It is the first time that a converting furnace endpoint prediction model based on an improved BP neural network and error compensation of linear regression. By simulating test, it is proved that the model possesses higher precision and practicability.