Effectiveness of mini-models method when data modelling within a 2D-space in an information deficiency situation

• Autorzy: Pietrzykowski M.
• Języki publikacji: EN

Abstrakty

EN

This paper examines mini-models method and its effectiveness when data modelling in an information deficiency situation. It also compares the effectiveness of mini-models with various methods of modelling such as neural networks, the KNN-method and polynomials. The algorithm concentrates only on local query data and does not construct a global model during the learning process when it is not necessary. It is characterized by a high efficacy and a short calculation time. The article briefly describes the method by means of four variants: linear heuristic, nonlinear heuristic, mini-models based on linear regression, and minimodels based on polynomial approximation. The paper presents the results of experiments that compare the effectiveness of mini-models with selected methods of modelling in an information deficiency situation.

Słowa kluczowe

EN

mini-models; modelling; parameter of minimum number of samples; leave one out error; information gap

• Wydawca: Komisja Informatyki Polskiej Akademii Nauk, Oddział w Gdańsku
• Czasopismo: Journal of Theoretical and Applied Computer Science
• Rocznik: 2012
• Tom: Vol. 6, nr 3
• Strony: 21--27
• Opis fizyczny: Bibliogr. 11 poz., rys., tab.

Twórcy

autor

Pietrzykowski M.

• Faculty of Computer Science and Information Technology, West Pomeranian University of Technology, Szczecin , Poland,

Bibliografia

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• [2] Piegat A., Wąsikowska B., Korzeń M.: Zastosowanie samouczącego się trzypunktowego minimodelu do modelowania stopy bezrobocia w Polsce, Studia Informatica, no. 27, pp. 45-58, 2011.
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• [6] Pietrzykowski M.: Comparison of effectiveness of linear mini-models with some methods of modelling, in Młodzi naukowcy dla Polskiej Nauki, Kraków, 2011.
• [7] Pietrzykowski M.: The use of linear and nonlinear mini-models in process of data modelling in a 2D-space, in Nowe trendy w naukach inżynieryjnych., 2011.
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• [10] Pluciński M.: Nonlinear ellipsoidal mini-models – application for the function approximation task, paper accepted for ACS Conference, 2012
• [11] Pluciński M.: Application of the information-gap theory for evaluation of nearest neighbours method robustness to data uncertainty, paper accepted for ACS Conference, 2012