Thermal Power Financial Environment Risk Forecast Model by Combined Stock Multi-indicators Basis on RBF Neural Network

It has an important significance for thermal power industry to take analysis and forecasting financial environment risk. With the scope of this paper, a RBF neural network model focus on risk analysis was constructed, and a series of input indicator combinations designed to get more accurate predictions