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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....
With the occupant’s pursuit of indoor thermal comfort, the conventional air-conditioning control system that only control air temperature and air humidity can’t satisfy people’s require. On the basis of the study on the thermal comfort theory and thermal comfort index, a new type of air conditioning control mode, thermal comfort index control was proposed which takes thermal comfort index as the control...
Because of the complexity of coal mine safety assessment and BP neural network's ability to handle complex problem and auto-adaptive ability, the application of BP neural network in the coal mine safety assessment is necessary and feasible. This paper proposes the principle of safety assessment index system establishment and establishs coal mine safety assessment index system, introduces neural network...
Because of the superiority in approximation, classification and study speed, the radial basis function artificial neural network (RBF-ANN) model is receiving more and more scholars’ attention. Its framework, design, simulation and output of graphs are presented. With the aid of MATLAB tools, integrative assessment of basin flood prevention effect using above model is introduced. As an applied example,...
Knowledge management is a complex systems engineering, so the evaluation of knowledge management is of non-linear characteristics. Neural network with the ability of adaptive learning is an excellent tool to deal with the issue of non-linear. This paper analyzed the essence of knowledge and knowledge management. We proposed an evaluation model of knowledge management based on the theory of information...
The model base plays an important role in the process of decision support system (DSS) design, so it is a worthwhile study to the reasonable design and the optimization of models. This paper makes an in-depth research on fuzzy comprehensive evaluation (FCE) model which is on a widely used and put forward the Fast FCE model based on neural network (NN). This method organically combines FCE, NN and...
To build laboratories better, it is necessary to evaluate them reasonably. In this paper, we classed laboratories into three grades, construct evaluation model based on Levenberg-Marquardt neural network arithmetic, and using this model to evaluate laboratories of some universities belong to national ministry of education. The result shows it is well and suitable grade evaluation for university laboratories.
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