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Intelligent decision-making system for autonomous robots

100%
Kowalczuk Z., Czubenko M.
International Journal of Applied Mathematics and Computer Science
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2011
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tom 21
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nr 4
671-684
EN
The paper gives an account of research results concerning a project on creating a fully autonomous robotic decisionmaking system, able to interact with its environment and based on a mathematical model of human cognitive-behavioural psychology, with some key elements of personality psychology included. The principal idea of the paper is focused on the concept of needs, with a certain instrumental role of emotions.
2
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Artificial intelligence methods in diagnostics of analog systems

100%
Bilski P., Wojciechowski J.
International Journal of Applied Mathematics and Computer Science
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2014
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tom 24
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nr 2
271-282
EN
The paper presents the state of the art and advancement of artificial intelligence methods in analog systems diagnostics. Firstly, the diagnostic domain is introduced and its problems explained. Then, computational intelligence approaches usable for fault detection and identification are reviewed. Particular groups of methods are presented in detail, explaining their usefulness and drawbacks. Examples, such as the induction motor or the electronic filter, are provided to show the applicability of the presented approaches for monitoring the state of analog objects from engineering domains. The discussion section reviews the presented approaches, their future prospects and problems to be solved.
3
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Adaptive prediction of stock exchange indices by state space wavelet networks

88%
Brdyś M., Borowa A., Idźkowiak P., Brdyś M.
International Journal of Applied Mathematics and Computer Science
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2009
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tom 19
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nr 2
337-348
EN
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 WIG20 index prices. The predictors are validated based on real data records to produce promising results. The state space wavelet network model may also be used as a forecasting tool for a wide range of economic and non-economic indicators, such as goods and row materials prices, electricity/fuel consumption or currency exchange rates.
4
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Adaptive predictions of the euro/złoty currency exchange rate using state space wavelet networks and forecast combinations

75%
Brdyś M., Brdyś M., Maciejewski S.
International Journal of Applied Mathematics and Computer Science
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2016
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tom 26
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nr 1
161-173
EN
The paper considers the forecasting of the euro/Polish złoty (EUR/PLN) spot exchange rate by applying state space wavelet network and econometric forecast combination models. Both prediction methods are applied to produce one-trading-dayahead forecasts of the EUR/PLN exchange rate. The paper presents the general state space wavelet network and forecast combination models as well as their underlying principles. The state space wavelet network model is, in contrast to econometric forecast combinations, a non-parametric prediction technique which does not make any distributional assumptions regarding the underlying input variables. Both methods can be used as forecasting tools in portfolio investment management, asset valuation, IT security and integrated business risk intelligence in volatile market conditions.
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