GAMLSS and neural networks in combat simulation metamodelling: A case study

作者：

Highlights：

• We compare additive regression models to neural networks in modelling a combat simulation.

• Additive models are better able to cope with skewed data.

• Out-of-sample performance is otherwise comparable.

摘要

•We compare additive regression models to neural networks in modelling a combat simulation.•Additive models are better able to cope with skewed data.•Out-of-sample performance is otherwise comparable.

论文关键词：Neural network,Additive model,Combat simulation,Metamodel,Prediction interval

论文评审过程：Available online 14 May 2013.

论文官网地址：https://doi.org/10.1016/j.eswa.2013.05.023