A comparative study of Artificial Intelligence methods for project duration forecasting

作者：

Highlights：

• We propose 5 AI methods for predicting a project’s duration.

• A methodology including PCA, cross-validation and grid search is presented.

• A large computational experiment shows the good performance of the AI methods.

• A sensitivity analysis reveals the weakness of the proposed methods.

摘要

•We propose 5 AI methods for predicting a project’s duration.•A methodology including PCA, cross-validation and grid search is presented.•A large computational experiment shows the good performance of the AI methods.•A sensitivity analysis reveals the weakness of the proposed methods.

论文关键词：Project management,Earned Value Management (EVM),Prediction,Artificial Intelligence

论文评审过程：Received 7 December 2014, Revised 7 October 2015, Accepted 8 October 2015, Available online 21 October 2015, Version of Record 18 November 2015.

论文官网地址：https://doi.org/10.1016/j.eswa.2015.10.008