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首页> 外文期刊>ISIJ international >Modeling the effect of copper on hardness of microalloyed dual phase steel through neural network and neuro-fuzzy systems
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Modeling the effect of copper on hardness of microalloyed dual phase steel through neural network and neuro-fuzzy systems

机译：通过神经网络和神经模糊系统模拟铜对微合金双相钢硬度的影响

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摘要

The effects of copper along with some microalloying elements and the processing parameters are modeled with artificial neural network and adaptive neuro-fuzzy inference system. Both the tools are found to be useful for modeling the effect of copper and other alloying additions along with the processing parameters on the hardness of microalloyed DP steels. In case of the neural network, the proposed committee of models is found to be effective in handling the problem of mapping the input-output relation in these steels. The increase in the number of rules is found to improve the predictability of the neuro-fuzzy inference system. The predictions made by both the models substantiate the knowledge of physical metallurgy principles.
机译：利用人工神经网络和自适应神经模糊推理系统对铜的影响以及一些微合金元素和加工参数进行了建模。发现这两种工具都可用于对铜和其他合金添加剂以及工艺参数对微合金DP钢硬度的建模。在神经网络的情况下，建议的模型委员会在解决映射这些钢的输入-输出关系问题方面是有效的。发现规则数量的增加可以改善神经模糊推理系统的可预测性。这两个模型所做的预测均证实了物理冶金原理的知识。

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