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Cybersecurity awareness and cyber skills training are vitally important and challenging. A huge number of attacks against everyday users occur routinely. Prevention techniques and responses are wide ranging but are only effective if used effectively. The objective of this research is to teach everyday users the requisite cybersecurity skills through gaming, beyond the current state of practice. Because...
The supply chain based on e-business is different from the traditional supply chain. Now, there is no effective system for the performance evaluation of the supply chain based on e-business. We build a BP neutral network model, developing a performance evaluation system of the supply chain based on e-business. After 6 times training, the performance of the network can meet the requirements. The tests...
This paper analyses the deficiency of SVM-RFE feature selection algorithm and puts forward a new feature selection method combined with SVM-RFE and PCA. Firstly, we get the optimal feature subset through the method of cross validation based on SVM-RFE. Then, we use the PCA method to analyse the main component about optimal feature subset and get a lower-dimension and independent data sets which are...
Probabilistic neural network (PNN) model is a kind of artificial neural network, which is simple in structure, easy for training and widely used. This method uses Bayes classifying and decision-making theory to constitute the mathematic model of system. With Gauss function as activating ones, it possesses the characteristics of strong nonlinear processing and antinterfering ability. This paper introduces...
An air defense decision-making model based on modern artificial intelligence technology is introduced in this paper. It also solve many difficult problems during model establishing, such as design of neural network structure, network propagation algorithm, fuzzy control algorithm and data reduction algorithm. Simulation experiment with typical battlefield situation data is conducted. First, quantify...
The traditional KNN algorithm for text classification has some insufficiencies, an improved KNN algorithm has been presented in this paper. By use of the clustering center vector, we put the distance of the be classified text and the text category into the similarity calculation formula, and take the ratio of the number of common features appear in two texts and the maximum number of respective features...
This paper analyses the defections of traditional support vector machine (for short SVM). According to the characteristics of grain information on the web, a multi-class classification method based on Huffman binary tree SVM (for short HBT-SVM) is presented for grain information classification. Compared with existing SVM methods, this method has higher computation efficiency. The experimental results...
Heterogeneous semantic models have been introduced to represent knowledge of interpreting the semantics of Web information, as well as semantic information on the Web. In this paper, the current semantic representation models are introduced firstly. After comparative analysis of the advantages and disadvantages between those models, this paper illustrated the deficiencies among those models. Then...
This paper has proposed an improved algorithm of face detction by the combination of the respective characteristics of Adaboost algorithm and the skin color segmentation algorithm. Face candidate regions were first obtained by the means of skin color detection, which were then input as the trained Adaboost cascade classifier to get accurate and quick face location. Also, in this paper the strategy...
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