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This thesis carrys out thorough investigation and discussion to the optimum savings ratio of our country economy making use of qualitative analysis. We put forward that the really savings ratio have exceeded the optimum savings ratio needed by balanced growth of our country economy owing to a series of unbalance in economy reality.Then,we built the economic model through demonstration analysis to...
In this paper, a new BP learning algorithm based on extended BFGS method is presented in order to get the solutions for some learning problems of traditional BP Neural Network, such as the slow rate of convergence and poor stabilization. Introduce the modified Newton descent method to the BFGS method which is used to obtain good variables. The single variable search, which the ordinary BFGS arithmetic...
In practical applications, datasets are usually imbalanced, but traditional approaches usually lead a low recognition rate. To address this problem, in this paper, over-sampling of the minority class has been proposed to increase the number of minority class, so as to achieve balance, thereby enhancing recognition rate of minority class. The experiments show that this approach achieved satisfactory...
This paper aims at improving the categorization performance of the small number of samples in the imbalance datasets, and dealing with data re-sampling from the perspective of data. The main idea is to make the number of various types of texts by increasing some texts. The experiment indicates that the system has improved the accuracy of text-categorization effectively.
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