基于BP神经网络预测硬质合金硬度

Prediction of Cemented Carbide Hardness with BP Neural Network

通过BP神经网络,对WC-Co硬质合金硬度进行模拟和预测。结果表明,该方法能够比较精确地预测WC-Co硬质合金硬度与其成分变化的关系。

Simulation and prediction is made of WC-Co cemented carbide hardness through BP （Back-Propagation Network） neural network. The results showed that the method can exactly predict the relationship between the hardness of WC-Co cemented carbide and its constituents.