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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...
To efficiently utilize their infrastructure and thus increase their revenue, cloud providers need mechanisms to provide resource allocation and performance isolation for different tenants in the shared platform. In particular, network bandwidth sharing is a critical yet still an open problem to most cloud providers. In this paper, we study the problem of virtual machine (VM) allocation under the consideration...
It is difficult to get satisfactory customer churn prediction effect for the traditional model, because the class distribution of customer data is often imbalanced, and the available data in target task is little. This paper combines the transfer learning with the ensemble learning, and proposes a feature selection based transfer ensemble model (FSTE). It utilizes the customer data in both the related...
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...
Terrain is hard to simulate and edit in a realistic and convenient way because of its complexity. In this paper, we propose and develop an interactive terrain editing method with OpenGL. Digital elevation model (DEM) is used to create terrain. And technology of terrain geometric editing and terrain texture editing is provided to modify terrain more conveniently. Meanwhile, we propose an algorithm...
Response to the question that the traditional gain scheduling which is one-parameter adjusting is complex and difficult to find suitable adjusting rule and so the flying qualities in full flight envelope curve specially for those flight conditions between the operating points can’t be guaranteed for a modern fly-by-wire flight control system, a design method of three-layer BP network gaining-scheduling...
In view of importance of teaching quality evaluation, the process and results are fully concentrated on considering entirety and dynamics. A method of teaching quality evaluation calculation is proposed on the basis of Bayes analysis and implemented by way of VB program. The no-strictness and no-accuracy results of conventional calculating methods are analyzed. Discusses how to calculate the standard...
In view of importance of teaching quality evaluation, the process and results are fully concentrated on considering entirety and dynamics. A method of teaching quality evaluation calculation is proposed on the basis of grey relation analysis and implemented by way of VB program. The no-strictness and no-accuracy results of conventional calculating methods are analyzed. Discusses how to calculate the...
We present a novel object localization approach based on the global structure constraint model (GSC) and optimal algorithm. In GSC, Objects are described as constellations of points satisfied with their specific global structure constraints. The spatial relations among all the patches having stable color information and their representative color information around patches are encoded. Then, the searching...
A novel spam filtering algorithm based on 2v-SVM is proposed on the basis of researching of existing spam filtering algorithms in the paper. 2v-SVM can address the difficulties that arise when the class frequencies in training data do not accurately reflect the true prior probabilities of the classes, which is more superiority than standard SVM. Experiment results show that this method can effectively...
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