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Security is the biggest challenge for the digital data of information systems and computer networks. Some systems are used for providing security to this data. Like these systems intrusion detection system (IDS) is used for providing security to computer networks and information systems. In IDS many systems uses number of techniques for providing accuracy by selecting complete features of dataset...
In order to improve the level of electronic commerce credit rating, we establish a full set of E-commerce credit rating level system, and present a method which based on the combination of a principal component analysis and BP neural networks. This method improved the traditional BP neural networks, by using a principal component analysis could eliminate the correlation between the inputs of neural...
A BP neural network model based on principal component analysis(PCA) is proposed to evaluate the college student information quality comprehensively. The principal component analysis is adopted to process the evaluation index by dimension reduce. And then a BP neural network evaluation model of college students' information quality is established.
As the Government's macroeconomic regulation and control means, finance plays a significant role, but finance bears some certain risks. How to manage and prevent this risk is directly related to the survival and development of the whole country. This paper focuses on the combined model application research, fiscal risk early-warning based on principal component analysis and BP neural network. The...
According to the characteristics of the power industry, an index system of power customer classification was designed in this thesis, and all the initial indexes included were screened through the Principal Component Analysis (PCA). Using the Back Propagation Neural Network (BPNN) which was optimized by the Genetic Algorithm (GA) to establish the customer classification model. The combination of the...
With the development and reformation of China's power market, the environment of production and management is changing fundamentally. Therefore, considering the risk character of power supply enterprises, an evaluation index system to evaluate the risk in power supply enterprises is established. Then by combining PCA (principal component analysis) and BP neural network together, a risk evaluation...
Unemployment is a critical problem in China. It is also a major factor relative with the economic development of a society. Hence, unemployment forecast model as an important way of studying economy and society should be paid more attention. An accurate predicted outcome is significant for the government to set the relative policies. In the paper, there are some influencing indicators suggested by...
Unemployment is a major problem in China at the present time, it is also a critical factor relative with the development of society. For this reason, predicting unemployment rate as a method of economic and social studies is being paid more and more attention. An accurate predicted outcome is significant for the government to formulate and promulgate the relative policies. In this paper, according...
Using principal component analysis (PCA) and improved fuzzy neural network by PSO to evaluate the success degree in electric power engineering is this paper's innovative points. First we construct the algorithm model which based on PCA and BP neural network improved by PSO. Secondly using PCA to predigest the given index system and then using the relative membership degree processing the date, which...
Partners selection and evaluation is one of the most vital actions of companies in a product design chain. Moreover, decision support is an important part of cooperative design. Selecting the right partner is the assurance of cooperative design. In order to improve reliability and scientificalness, a method of partner evaluation based on BP neural network and PCA is presented. An evaluation index...
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