Decision trees and genetic algorithms for condition monitoring forecasting of aircraft air conditioning
作者：
Highlights：
• An adaptable expert system based time series forecasting method.
• Decision trees and genetic algorithms are used to optimize the forecasting.
• Simple functions can be used to forcast non linear time series.
• Human understandable forecasting process.
摘要
•An adaptable expert system based time series forecasting method.•Decision trees and genetic algorithms are used to optimize the forecasting.•Simple functions can be used to forcast non linear time series.•Human understandable forecasting process.
论文关键词：Decision tree,Forecasting,Expert system,Machine learning,Time series,Maintenance,Genetic algorithm
论文评审过程：Available online 22 March 2013.
论文官网地址：https://doi.org/10.1016/j.eswa.2013.03.025
