智能家居中食品消费优化的专家系统

2011 IEEE 9th International Symposium on Applied Machine Intelligence and Informatics (SAMI) Pub Date : 2011-03-24 DOI:10.1109/SAMI.2011.5738885

M. Seebauer

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引用次数: 4

摘要

在智能家居项目框架下，建立了食品产品数据库。假设所有进出的产品都可以通过RFID识别被检测到，那么所开发的专家系统将支持家庭食品消费的优化。专家系统根据当前问题采用前向链推理或后向链推理方法。本文重点介绍了专家系统解决的问题，描述了与数据库的接口和知识库。

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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Expert system for optimization of food consumption in Intelligent Home

In the frame of Intelligent Home project a data base of food products was created. Supposing that all of incoming and outgoing products will be detected through a RFID recognition, the developed expert system supports the optimization of food consumption in the household. The expert system applies the forward chaining or the backward chaining inference method in depend on current problem. The paper focuses on the situations solved by expert systems, describes the interface to the databases and also the knowledge base.

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来源期刊

2011 IEEE 9th International Symposium on Applied Machine Intelligence and Informatics (SAMI)

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