Improved Risk Evaluation Model in Software Project Investment
Fang De-ying · Jisuanji gongcheng · 2008
An improved risk evaluation model in software project investment is presented. Based on the evaluation index system, the model utilizes factor analysis way to decrease dimension of sample data for simplifying problem. In the modeling of Neural Network (NN), an optimization algorithm based on the principle of golden section to design the number of hidden layer nodes is utilized for increasing the precision of risk evaluation. The model can accomplish the work of risk evaluation in software project investment by verifying the sample data of risk evaluation.