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Aiming at the problem in the application of the RBF neural network to the credit score, this paper proposes a RBF neural network classification under the Stein loss function, and produces the test results on the Germany credit score data sets among the UCI. The results illuminate that the method proposed in this paper may effectively solve the problem in the application of the RBF neural network to...
It is a key point for realizing the objects of enterprise information-based construction that whether the ERP system can successfully applied and implemented. For the Chinese enterprise which foundation of information-based is weak, the enterprise usually faces many bemusements for selecting ERP system and implementing ERP system, because of the complicacy of ERP system. The fuzzy comprehensive evaluation...
With the advanced growth of the Internet, people are expecting systems to support variety of medias. This has therefore leads to new challenges such as the requirements to have new storage, retrieval and presentation of data. In addition, as the sizes continue to grow and the data become more and more complex, it is increasingly crucial and challenging to manage and analyze large amount of multimedia...
An f-coloring of a graph G is a coloring of edges of E(G) such that each color appears at each vertex v ∈ V (G) at most f(v) times. The minimum number of colors needed to f-color G is called the f-chromatic index of G, and denoted by χ'f(G). Any graph G has f-chromatic index equal to Δf (G) or Δf(G)+1, where Λf(G)= maxv∈V{⌈d(v)/f(v)⌉}. If χ'f(G) = Δf(G), then G is of Cf 1; otherwise G is of Cf 2....
In order to reduce the financial risks of Oversea Merger and Acquisition, and determine the best loan credit structure model for Overseas Merger and Acquisition project, a novel loans credit evaluation model of Overseas Merger and Acquisition project based on Analytic Hierarchy Process was proposed in this paper. During the implementation period of Overseas Merger and Acquisition, a comprehensive...
In allusion to the scale problem in AHP, this essay demonstrates the importance of the selection of scale system and the necessity to evaluate scale. Through experiment, the essay points out a meaningful conclusion, that is, in reciprocal scale, index scale is more reasonable than any other scales. Although the method in this essay has some error, it makes some difference to the accuracy of the analysis...
Identifying heavy hitters is essential for network monitoring, management, charging and etc. Existing methods in the literature have some limitations. How to reduce the memory consumption effectively without compromising identification accuracy is still challenging. In this paper, an adaptive method combining sampling and data streaming counting is proposed, called FSPLC(feedback sampling probabilistic...
The growing size of Resource Description Framework (RDF) dataset requires RDF repository to be excellent scalable and highly efficient. Distributed and parallel processing model meets the urgent needs naturally. In this paper, we propose a scalable RDF store based on HBase, which is a distributed, column-oriented database modeled after Google's Bigtable. Our approach adopts the idea of Hexastore and...
In order to inspire the enthusiasm of teacher, betterment teaching method to improve class teaching quality in higher education, according to the evaluating data from twenty teachers of Xi'an University of Post and Telecommunications, this paper has made an analysis and some explorations on the determination of evaluation index system by using the principal component analysis tool of statistical package...
In an increasingly competitive transport market, railway companies need pay attention to competitive power management based on customer value. In order to provide theoretical guidance for enhancing enterprises competitiveness, the paper uses the system theory to study the system structure of customer value creation capability. Then entropy and unascertained measure model are adopted to evaluate customer...
This paper introduces the application of particle swarm optimization(PSO) algorithm. Based on the analysis of the characteristics of the sustainable development indexes, this paper adopts the classified individual sustainable development index formula and the composite index formula, optimizes the model parameters by PSO algorithm, and sets up a composite index evaluation model of sustainable development.
The planning and construction of power network project directly impact on the region's social and economic development, however, because there is a lot of planning project uncertainties. Therefore, only by means of scientific and reasonable project risk evaluation method, power network planning project can be effective management and control. This paper in-depth analysis on the various factors that...
Caching methods can be used for single query optimization and for multi-query optimization. Cost of evaluation can be reduced by exploiting common subexpressions and maintaining intermediate data structure. In this paper with integrating single query optimization, cache investment and multi-query optimization performance of query execution in distributed database systems will be improved. Maintaining...
Market and stock exchange news are special messages containing mainly economical and political information. This paper represents data mining algorithms which has been tested on this available information to learn useful trends about the behaviour of the stock markets. The learned trend holds the key to interpret the present and predict the next stock price. This resented work uses Naïve Bayes Algorithm...
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