| Summary: | 碩士 === 朝陽科技大學 === 資訊與通訊系碩士班 === 100 === This study used artificial neutral network to learn users’ behaviors, make judgments according to the individuals’ behavior characteristics, predict the individuals’ next actions based on their characteristics of imitative behavior, in order to pre-control the electric appliances in the environment.
In a multi-user office environment, it is necessary to install sensors for data mining. Due to the large scope and quantity of sensors required, and the sensors cannot identify the users, this study divided the sensors into two types, namely private and global. By comparing the data, this study judged and tracked the users, and sorted data of multiple persons into individual data, and then recorded their behaviors and reactions for learning. Through the feature values of users, their user behaviors could be distinguished in order to achieve multi-user intelligent control.
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