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This paper presents a prediction model applicable to aircraft fault maintenance sorties forecast of airlines, discusses detailedly the determine of various forecast parameters, and through the long-term contrast with the actual data, to prove the validity and accuracy of the prediction model for predicting. It has a positive meaning for saving the airline ground handling maintenance costs, and even...
The purpose of this study is to investigate the data fitting for broiler growth performance parameters. In this paper, the gradual advancing analysis methods, from correlation analysis, multiple linear regression, to neural network, are proposed. The mean technology roadmap is: firstly, correlation analysis is used to detect the degree of correlation between the broiler growth performance parameter...
Currently, the measurement of the visibility mainly depends on the human eyes, so that the objectivity is relatively poor. In general, the higher the visibility is, the greater the measurement error is. On the other hand, in practice, as opposed to high visibility situations, low visibility situation is more notable. Therefore, for the same forecast error, low visibility should have a higher risk...
This paper constructs a piece-wise fuzzy linear regression model for terminal delay estimation using the traffic demand and weather. Earlier, the features of traffic demand and weather were used to develop a linear regression model for delay. The accuracy of delay estimation model using a single linear fit is improved by the three-piece fuzzy linear model. Results are presented on the development...
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