IT Project risk assessment with GCPSO-based artificial neural network

Wen Ping Lei · 2008

The IT projects risk assessment is a focus problem of the practice and theories research of IT project management. In this paper, a set of index system of IT project risk assessment is established. Based on the index system, an integration classifier with GCPSO-based Artificial Neural Network is established to assess IT projects risk in project management. At last, an experiment is given and BP neural network is also used to compare with the GCPSO-based ANN with the same data. The experimental results show that integration classifier with GCPSO-based Artificial Neural Network is effective in risk assessment and achieves better performance than BP neural network.

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