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Application of Artificial Neural Network to Predicting Hardenability of Gear Steel

机译:人工神经网络在齿轮钢淬透性预测中的应用

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摘要

The prediction of the hardenability and chemical composition of gear steel was studied using artificial neural networks. A software was used to quantitatively forecast the hardenability by its chemical composition or the chemical composition by its hardenability. The prediction result is more precise than that obtained from the traditional method based on the simple mathematical regression model.
机译:利用人工神经网络研究了齿轮钢淬透性和化学成分的预测。使用软件通过其化学组成或通过其可硬化性定量预测可淬性。预测结果比基于简单数学回归模型的传统方法获得的预测结果更为精确。

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