A Novel Approach to Air Passenger Index Prediction: Based on Mutual Information Principle and Support Vector Regression Blended Model

A Novel Approach to Air Passenger Index Prediction: Based on Mutual Information Principle and Support Vector Regression Blended Model

Air passenger traffic prediction is crucial for the effective operation of civil aviation airports. Despite some progress in this field, the prediction accuracy and methods need further improvement. This paper proposes an integrated approach to the prediction of air passenger index as follows. First...

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Bibliographic Details
Main Authors: Honglin Xiong, Chongjun Fan, Hongmin Chen, Yun Yang, Collins Opoku ANTWI, Xiaomao Fan
Format: Article
Language:English
Published: SAGE Publishing 2022-01-01
Series:SAGE Open
Online Access:https://doi.org/10.1177/21582440211071102

Internet

https://doi.org/10.1177/21582440211071102

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