Evaluation of the investment risk of high tech projects based on the neural network model
Bao Yue-ying · Journal of Hefei University of Technology · 2004
The development history of artificial neural network, the conception of informetrics and the application of neural network algorithms to the research fields of informetrics are introduced,and the problem of overfitting in the application of neural network methods is pointed out. Based on the analysis of the risk factors in investing in high tech projects, a linear neural network model is presented to predict the investment risks, and the problem of overfitting is avoided in the model. The calculation of data taken from the related literature is carried out,and the prediction results show that the model is stable and reliable and the results are satisfying.