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At present, the researches on credit risk analysis mainly focus on commercial bank loan or consumer credit risk, and there is little research about the credit risk of rural credit cooperatives. The purpose of this paper is to evaluate credit risk for the rural credit cooperatives using artificial neural network model. We establish credit risk assessment index system for rural credit cooperatives....
Due to the following characteristics of offshore program, such as one-time large-scale investment, comprehensive high-risk, long payback period, high uncertainty, high regional and political, the investors has been paid more and more attentions to the risk of offshore program. Combined with the characteristics of offshore program risk management, and with the use of BP neural network theory, this...
Traditional risk assessment methods of construction project are often affected by the subjective factors. In order to reduce or avoid the effect of subjective factors, This paper firstly established the project risk evaluation index system, based on the detailed analysis of the project's internal and external environment, then built up the risk evaluation model with BP neural network, learned and...
Investment risks assessment of high-tech projects is a more complex process, involving various factors and it is not entirely the linear relationship between influencing factors and measurement results. Artificial neural network (ANN) has a strong nonlinear mapping ability, with strong learning ability and high classification and prediction accuracy. The paper applied ANN to establish a new risk assessment...
On the basis of setting up an evaluation index system for the development risk in real estate, this article designs an evaluation model for the development risk in real estate with RBF (radial basis function) neural network. Furthermore the training has been carried out for the neural network through selecting the risk evaluation data of several real estate development projects. The result shows that...
The real estate industry is an important sector of the national economy, and its prosperity is important for the healthy development of the national economy. Due to longer development period and occupying more funds, real estate project has many risks. Facing with the temptation of high profits, the investors of real estate project must evaluate the risks scientifically and systematically before making...
The paper proposes credit risk assessment model of commercial banks based on fuzzy probabilistic neural network model (FPNN) which combines the relative membership degree in fuzzy mathematics with Probabilistic Neural Network (PNN). The model makes up for a deficiency of ANN and BP arithmetic. Finally, an example is used to prove the calculation of this method is succinct rapid, and the evaluative...
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