| Summary: | 碩士 === 國立高雄應用科技大學 === 工業工程與管理系碩士班 === 103 === In This study, but to attends to on the a model to control the of air quality in order to provide air to predict future future predictions as a secondary judgment to the Tao Zhu Miao Region Environmental Protection Administration of air quality monitoring data to predict air quality Tao Zhumiao region each station. Therefore, and then come up with a complete judgment of auxiliary systems will make the air quality future predictions made more accurate and the judgments and reference information, reduce waste misjudgment follow-up questions and resources may bring contribution.
In this study, The Gray System Theory was used as to explore the Tao Zhu Miao region air quality research tools to the Environmental Protection Administration of air quality monitoring data for the object library to construct a secondary air quality prediction model. According to the data collection through data collection, to explore the effects of air quality the important factor, and the gray correlation coefficient and gray correlation degree and the right gray entropy values obtained in the heavy gray correlation arising, respectively combine GM (1,1) connotation type. Consequently, the number of columns and gray linear regression forecasting combination forecasting model the building generated MAE, MAPE and RMSE model validation. Expectations of future results of this study are available to determine the system as a secondary air quality forecast.
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