【摘要】 针对我国热轧带钢生产中普遍存在的卷取温度控制精度较低问题 ,采用神经网络与数学模型相结合的方法 ,以某热轧厂生产为例 ,构造了BP神经网络 ,使卷取温度控制精度达到了± 15℃。更多还原

【Abstract】 In view of the problem of low control precision of coiling temperature of hot rolled strip,which is common in hot strip plants of China,the artificial neural network is applied.Taking example for a hot strip plant production,the BP network is established,and the prediction error can be controlled within ±15℃.更多还原