A novel evolutionary-negative correlated mixture of experts model in tourism demand estimation

作者：

Highlights：

• The mixture of experts (ME) model to handle the nonlinearities and other complexities.

• To model an accurate tourism demand time series forecasting method.

• A new ME method referred as LSPME (Lag Space Projected ME).

• The analysis outcomes exhibits the better estimation accuracy of LSPME.

摘要

•The mixture of experts (ME) model to handle the nonlinearities and other complexities.•To model an accurate tourism demand time series forecasting method.•A new ME method referred as LSPME (Lag Space Projected ME).•The analysis outcomes exhibits the better estimation accuracy of LSPME.

论文关键词：Mixture of experts,Negative correlation learning,Subspace projection,Time series estimation,Tourism demand

论文评审过程：Received 1 May 2016, Revised 29 June 2016, Accepted 6 July 2016, Available online 1 August 2016, Version of Record 1 August 2016.

论文官网地址：https://doi.org/10.1016/j.chb.2016.07.004