摘要
用神经网络预测热轧板带产品的力学性能可显著地改进回归数学模型的不足，并可充分地反映热轧生产主要工艺参数对产品力学性能的影响规律。为预测和控制热轧板带产品的性能质量提供了行之有效的手段。
The application of Neural Networks to predicting mechanical propries of hot - rolledstrip can not only improve the predicting precisions comparing with the traditional regressionmodels,but also reflect the regularities of the product mechanical properties with hot rollingparameters.The effective way for predicting and controlling the mechanical properties of hot rolledstrip has been suggested.
出处
《钢铁》
CAS
CSCD
北大核心
1995年第1期28-31,共4页
Iron and Steel
