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Electric power SDH network is a comprehensive communication network, which takes advantages of SDH technology, and is a widely used technology. How to protect the network more effectively is the concern of the operators. So the main purpose of this paper is to find a way to analysis risk in advance and enhance reliability of electric power SDH network. Firstly, we set up an evaluation index system...
In order to select the better wine grape varieties, and improve wine quality evaluation standards, the paper made a cluster analysis of wine grape samples based on the selected 57 physicochemical indexes. It's also classified different categories of wine grape after comparing the results of the wine quality evaluation. SPSS for canonical correlation analysis was used to find typical indicators, which...
Tax audit has vital influence on improving professional quality of tax team, impartial law enforcement and construction of a clean government. View of the complexity of performance evaluation of tax audit, this paper established the performance evaluation model of tax audit to select the various influential factors via gray-relation analysis. Based on artificial neural network, it built the performance...
A strong classifier model oriented to the financial risk warning of listed company has played an important role in the risk analysis of enterprise finance. Based on the BP_Adaboost composed of BP neural network and Adaboost algorithm, a strong classifier model of enterprise finance is designed and established, and is verified with the actual data. In the first, the evaluation index has the largest...
In order to prevent the financial risks of enterprises effectively, the risks evaluation is of great importance. This paper analyses the main factors that affect enterprise financial risks by using the T-test and nonparametric test in statistical software SPSS15.0 and the gray relevance theory (GRA). These factors are considered as the input variables of BP neural network and 56 enterprises are selected...
For the reason of the complexity of software projects and the uncertainty of software risk factors, it is difficult to use a mathematical expression to represent the model of risk assessment. It belongs to the classification of nonlinear. In this paper, we established the evaluation model of software project risk based on BP neural network. Firstly, an evaluation index system of software project risk...
As a new model of distributed computing, all kinds of distributed resources are virtualized to establish a shared resource pool through cloud computing. The target of cloud computing is to provide convenient and configurable resource for users with pay-per-usage charging model. Therefore, the reasonable and efficient mechanism for resource allocating is becoming a hot spot in research. According to...
This paper uses the BP neural network forecast model based on principal component analysis to predict China's railways freight. It firstly regroups indexes affecting railways freight by principal component analysis as to make the dimensions of index reduced and unrelated, and then it makes use of BP neural network to built model, and predicts the railways freight. The forecast result indicates that...
Comprehensive evaluation is the base of modern management and the tool of evaluating research object, and it is now widely used. Methods of evaluation decide the evaluation result. There are a few of methods which can be divided to two kinds: subjective methods and objective methods, these two kinds have their advantages and defects. In this paper, we proposed a method based on Principle Component...
The price of agricultural products are affected by many factors, and the relationship between independent variables and dependent variables can not use specific mathematical formula to express. The traditional prediction methods emphasized on the linear relationship between the prices, and the limitation is apparent, which lead to the low prediction precision. This paper proposes an improved BP neural...
Through constructing the evaluation system of after-sales service quality of cars and applying solution model of AHP-BP neutral network, this paper comprehensively evaluates the after-sales service quality of 4S shops, and indicates that when the figure is higher, the comprehensive performance is better, when the figure is lower, the comprehensive performance is worse. So, the 4S shop of lower figure...
According to the status quo of integrated support ability evaluation for meteorological equipment, index system of equipment integrated support ability evaluation for meteorological station is established. Using BP neural network method, equipment support ability evaluation model is established. Combined with concrete examples of meteorological station equipment support ability evaluation, a better...
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...
Firstly, this paper found the indexes system of equipment procurement project organization environment and the indexes system of equipment procurement project organization design. Secondly, the sensitivity analysis model of equipment procurement project organization environment based on BP neural network is given, and simulation analysis is processed. Finally, organization design strategy of controlling...
Taking consideration of the overall relative efficiency of input-output in emergency response resources in the system and making use of data envelopment analysis(DEA) of dangerous goods accident emergency response vessel to evaluate the efficiency of resource allocation, make the evaluation proceeds with the neural network data for training, and predict the effect of generating program, to obtain...
Performance prediction of supply chain is an important content of supply chain management. This paper establishes a supply chain performance prediction model by using fuzzy neural net in combination with fuzzy rough set based on Knowledge Discovery in Data (KDD) and Data-mining Technology. Through a case of supply chain performance prediction, the author reduces the indexes of an evaluation index...
On the basis of analyzing the significance of assessing production and operation ability in small and medium enterprise (shorter form SMB), the assessment-index system of production and operation ability for small and medium enterprise is built and assessment model is established using BP neural network. The conjunction weights of the neural network are continuously modified layer by layer from output...
In this paper, the rolling bearing is detected by the PLC-based remote fault diagnosis system. This system carries out remote system bearing fault diagnosis and maintenance through the combination of expert system and BP Neural Network. Since the advantages of rapid exchange of diagnostic information, accelerating the fault diagnosis rate, and reducing negative effects of failure on production process,...
The paper has analyzed the characters of TPL service provider selection based on online trading platform and constructed evaluation index system following the principle of real-time, simplification, uniformity and efficiency. Simultaneously, this paper has proposed intelligent decision-making method of the TPL service provider selection based on online trading platform and BP artificial neural network...
The generalization ability of neural network is an important aspect affecting its application. Meanwhile, the selection of training samples has a great impact on this ability. In order to improve the completeness of training samples, a method of samples self-learning of BP neural network based on clustering is put forward in this paper. By using the method of clustering, new samples can be collected...
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