Application of SVR with improved ant colony optimization algorithms in exchange rate forecasting
Wei-Mou Hung, Wei-Chiang Hong (2009)
Control and Cybernetics
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Wei-Mou Hung, Wei-Chiang Hong (2009)
Control and Cybernetics
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Benito Mendoza García, Carlos A. Coello Coello (2002)
Mathware and Soft Computing
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In this paper we report the first attempt to design combinational logic circuits using the ant system. In order to design circuits, a measure of quality improvement in partially built circuits is introduced and a cost metric (based on the number of gates) is adopted in order to optimize the feasible circuits generated. The approach is compared to a genetic algorithm and to a human designer using several examples and the sensitivity of the algorithm to its parameters is studied using...
Luciano Sánchez, Inés Couso (1998)
Mathware and Soft Computing
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GA-P algorithms combine genetic programming and genetic algorithms to solve symbolic regression problems. In this work, we will learn a model by means of an interval GA-P procedure which can use precise or imprecise examples. This method provides us with an analytic expression that shows the dependence between input and output variables, using interval arithmetic. The method also provides us with interval estimations of the parameters on which this expression depends. The...
Szkaliczki, Tibor, Goldschmidt, Balázs, Böszörmenyi, Laszlo (2007)
Serdica Journal of Computing
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Partial support of the Hungarian State Eötvös Scholarship, the Hungarian National Science Fund (Grant No. OTKA 42559 and 42706) and the Mobile Innovation Center, Hungary is gratefully acknowledged. In a distributed server architecture an obvious question is where to deploy the components. Host recommendation, which gives the answer, faces problems such as server selection, host deployment and, in case of multimedia servers, video replication. It is especially relevant for the...
Ekaterina Auer, Wolfram Luther (2009)
International Journal of Applied Mathematics and Computer Science
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Software for modeling and simulation (MSS) of mechanical systems helps to reduce production costs for industry. Usually, such software relies on (possibly erroneous) finite precision arithmetic and does not take into account uncertainty in the input data. The program SmartMOBILE enhances the existing MSS MOBILE with verified techniques to provide a guarantee that the obtained results are correct and measure the influence of data uncertainty. In this paper, we outline the main features...
Mietek A. Brdyś, Adam Borowa, Piotr Idźkowiak, Marcin T. Brdyś (2009)
International Journal of Applied Mathematics and Computer Science
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The paper considers the forecasting of the Warsaw Stock Exchange price index WIG20 by applying a state space wavelet network model of the index price. The approach can be applied to the development of tools for predicting changes of other economic indicators, especially stock exchange indices. The paper presents a general state space wavelet network model and the underlying principles. The model is applied to produce one session ahead and five sessions ahead adaptive predictors of the...
Anna Styrcz, Janusz Mrozek, Grzegorz Mazur (2011)
International Journal of Applied Mathematics and Computer Science
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A novel, neural network controlled, dynamic evolutionary algorithm is proposed for the purposes of molecular geometry optimization. The approach is tested for selected model molecules and some molecular systems of importance in biochemistry. The new algorithm is shown to compare favorably with the standard, statically parametrized memetic algorithm.
R. Kalicka, D. Bochen (2006)
Control and Cybernetics
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