Evaluation of Investment Risk in Hydraulic Engineering Based on BP Network
Xie Li-fang · Journal of Hunan Light Industry College · 2004
The authors proposed new ideas in applying the artificial neural network for investing risk evaluation and in constructing a model of artificial neural network to research the risk. It solves the problem better since the former evaluation isn't precise enough because of some subjective factors. Through a real case the sensitivities are analyzed and the results are in agreement with the engineering well.