Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Chengxiong Zhou"'
Publikováno v:
BIFE
The digital content products, because of its characteristics of transmitting over the network, can be either purchased through traditional ordinary operators, or obtained through the Internet. A large number of providers of digital content sharing ex
Publikováno v:
2010 Third International Conference on Business Intelligence and Financial Engineering.
This paper conducts an analysis on competitive equilibrium between digital content vendors and piracy manufacturers using the Stackberg model of production competition, and find out that in the traditional environment, the marginal cost of legitimate
Publikováno v:
2010 Third International Conference on Business Intelligence and Financial Engineering.
According to the serious trend of environment of enterprise, at first, the complicity actions among local government, enterprise and community residents are analyzed. Using game theory, two mixed strategy equilibrium models are constructed using econ
Publikováno v:
2010 Third International Joint Conference on Computational Science and Optimization.
In this paper, it will be discussed that the digital content manufactures put to use three-part-pricing model to distinguish the consumers when the supply is limited, which divides the consumers into the consumers with urgent needs and the consumers
Publikováno v:
BIFE
Basic on Satoris-Hill Credit Policy Decision Model (SHPDM), this article analyzes the advantage and ability of bad debt risk resistance as well as comparison of digital content manufacturer with traditional one by virtue of profit under scenarios of
Publikováno v:
Neural Information Processing ISBN: 9783540464846
ICONIP (3)
ICONIP (3)
In this study, a double-stage genetic optimization algorithm is proposed for portfolio selection. In the first stage, a genetic algorithm is used to identify good quality assets in terms of asset ranking. In the second stage, investment allocation in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::66933e1ae8a9d3a7f28feec794faafd1
https://doi.org/10.1007/11893295_102
https://doi.org/10.1007/11893295_102
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783540473312
SEAL
SEAL
In this study, we utilize the genetic algorithm (GA) to select high quality stocks with investment value. Given the fundamental financial and price information of stocks trading, we attempt to use GA to identify stocks that are likely to outperform t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::79c3c200f3c4787ae7b8e3bf8e2eec41
https://doi.org/10.1007/11903697_87
https://doi.org/10.1007/11903697_87
Publikováno v:
JCIS
In the financial time series forecasting field, the problem that we often encountered is how to increase the predict accuracy as possible using the noisy financial data. In this study, we discuss the use of supervised neural networks as the metamodel
Publikováno v:
2010 Third International Conference on Business Intelligence & Financial Engineering (BIFE); 2010, p238-242, 5p
Autor:
Tzai-Der Wang, Xiaodong Li, Shu-Heng Chen, Xufa Wang, Abbass, Hussein, Iba, Hitoshi, Guoliang Chen, Xin Yao, Chengxiong Zhou, Lean Yu, Tao Huang, Shouyang Wang, Kin Keung Lai
Publikováno v:
Simulated Evolution & Learning; 2006, p688-694, 7p