This paper adopts Matlab language and its ANN toolbox, with BP(Back-Propagation Network) neural network, to simulate and forecast the wear ability of surfacing layer using the WRS type ceramal flux-cored electrode.
应用Matlab语言及其神经网络工具包 ,通过BP神经网络 ,对WRS型金属基陶瓷药芯焊条堆焊层耐磨性进行模拟和预测。
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