摘要
提出一种基于神经网络的钢材含碳量电磁检测模型 ,以钢材的磁参量作为系统输入 ,对应含碳量为系统输出 ,采用 BP算法 ,实现了含碳量的智能化检测。实际检验表明其具有良好的效果。
The electromagnetic testing model for the carbon content in steels based on neural networks was proposed. With magnetic parameters as imput and carbon content as output, carbon content intelligent testing was realized by BP algorithm. Practical testing showed the the effectiveness of the model.
出处
《无损检测》
2000年第10期454-455,474,共3页
Nondestructive Testing
