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INTEGRATING EXPERT KNOWLEDGE IN CEREAL FOOD MANUFACTURING PROCESSES

机译:在谷物食品制造过程中整合专家知识

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We present a procedure of knowledge representation based on a qualitative algebra, to predict the wheat flour dough behaviour from mixing settings. The procedure guarantees the consistency of the knowledge base and provides a concise and explicit representation of the knowledge. The qualitative model is implemented as a knowledge-based system (KBS) accessible and understandable by scientists and technologists in breadmaking. The KBS is a record of the domain knowledge, mainly know-how, and a tool to confront predictions of the dough condition with real observations. An example of such a confrontation about the wheat flour dough mixing process is shown; the results gives insight into ill-known relations between the process settings and the dough condition.
机译:我们提出了一个基于定性代数的知识表示过程,以通过混合设置来预测小麦粉面团的行为。该过程可确保知识库的一致性,并提供知识的简洁明了的表示形式。定性模型是作为基于知识的系统(KBS)实施的,面包制造中的科学家和技术人员可以访问和理解。 KBS是领域知识(主要是专有技术)的记录,并且是通过实际观察来对生面团状况进行预测的工具。显示了关于小麦粉面团混合过程的这种对抗的一个例子。结果可以深入了解制程设置与生面团状况之间不为人知的关系。

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