Method and system for predicting single flight noise of airport based on weight

Abstract

The invention discloses a method for predicting the single flight noise of an airport, which comprises the following steps of: giving corresponding weight to single flight noise data of the airport at first; discriminatively establishing the learning ability of a sample through the weight; training a plurality of different learning models; selecting better learning models therein to be integrated; and abstracting the noise prediction problem of the airport as the multiple regression analysis problem in mathematics. A system for realizing the prediction method disclosed by the invention comprises an airport single flight noise data acquisition module, an airport noise data storage module and an airport single flight noise prediction module. According to the method disclosed by the invention, the instability of the current prediction method based on the single learning algorithm is overcome; the prediction precision and the prediction stability are effectively increased; compared with the general optimization and all integrations of the single learning algorithm, the prediction speed is increased; and the airport noise prediction practicability is increased.

Description

technical field [0001] The invention relates to a method for predicting airport single-flight noise, in particular to a weight-based prediction method for airport single-flight noise, and at the same time relates to a system for realizing the method. Background technique [0002] With the rapid increase of passenger and cargo transportation tasks of civil aviation in my country, the urbanization process of the surrounding areas of the airport is accelerating. As the airport land is getting closer to the urban land, the contradictions and disputes caused by the noise pollution of the airport are increasing. The airport noise problem is a serious social problem. It not only limits the development of the airport itself, but also has a great impact on the life, study and work of people around the airport. [0003] Due to the lack of domestic research on the prediction theory and methods of airport noise, the current prediction of airport noise in my country relies on foreign exp...

AI Technical Summary

Problems solved by technology

Machine learning method is one of the main methods to establish noise prediction model through measured data. At present, we are trying to apply machine learning method to airport noise prediction. , neural networks, etc. are used in the prediction of airport noise data, but the prediction results of a single learning algorithm are good and bad, and they are not stable under different conditions and data sets, and cannot always maintain high-precision prediction performance

However, a large number of learning algorithm models will obviously reduce the prediction speed and increase the storage space.

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