二次炼钢模糊过程建模

18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397) Pub Date : 1999-06-10 DOI:10.1109/NAFIPS.1999.781817

R. Roy, L. Collantes, J. Berdou, H. Whittaker, J. Madill

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引用次数: 3

摘要

通过建立模糊过程原型模型，研究了人工智能技术在二次炼钢中的应用。该模糊模型以工艺参数为输入，以性能参数为输出对生产质量进行评价，以提供有效的决策支持应用。本研究提出了一种利用数据分析和专家知识来定义隶属函数和规则的方法。本文还简要介绍了模糊逻辑在二次炼钢中的应用现状。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Fuzzy process modelling for secondary steelmaking

The application of artificial intelligence techniques in secondary steelmaking has been investigated by developing a prototype fuzzy process model. The fuzzy model assesses the quality of production using processing parameters as inputs and performance parameters as outputs, in order to provide an efficient decision support application. The research has developed an approach to utilise both data analysis and expert knowledge to define the membership functions and the rules. The paper also includes a brief state of the art review on the application of fuzzy logic in secondary steelmaking.

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18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397)

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