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Рассмотрена проблема построения интеллектуального человекомашинного интерфейса на основе логического анализа фраз на естественном языке. Предложена...
Persistent link: https://www.econbiz.de/10011227359
Зависимость логистики от минерального топлива является устойчивой тенденцией развития регионов, однако при составлении стратегических планов необходимо...
Persistent link: https://www.econbiz.de/10011230503
В статье рассматриваются нано-фемтотехнологические основания устойчивого ноосферного развития планетарной социально-экономической мегасистемы...
Persistent link: https://www.econbiz.de/10011232231
In this article we describe reinforcement learning, a machine learning technique for solving sequential decision problems. We describe how reinforcement learning can be combined with function approximation to get approximate solutions for problems with very large state spaces. One such problem...
Persistent link: https://www.econbiz.de/10010837883
Prediction is very important in business planning. The ability to accurately predict the future is fundamental to many decision activities in sales, marketing, production, inventory control, personnel, and many other functional areas of business. Time series modeling approach is one of the major...
Persistent link: https://www.econbiz.de/10010839011
Because of sensitive dependence on initial conditions (SDIC), characteristic to chaotic systems, the prediction of such system can be made with an accepted accuracy only for relatively small number of steps ahead. Using artificial techniques like neural networks and support vector machine to...
Persistent link: https://www.econbiz.de/10010604738
In this paper, the applications of artificial intelligence-based methods for tracking the maximum power point have been reviewed and analysed. The reviewed methods are based upon neural networks, fuzzy logic, evolutionary algorithms, which include genetic algorithms, particle swarm optimization,...
Persistent link: https://www.econbiz.de/10010807791
In this paper, we describe an extension of the methodology for explanation generation in financial knowledge-based systems, offering the possibility to automatically generate explanations and diagnostics to support business decision tasks. The central goal is the identification of specific...
Persistent link: https://www.econbiz.de/10010731056
A novel approach for solving robust parameter estimation problems is presented for processes with unknown-but-bounded errors and uncertainties. An artificial neural network is developed to calculate a membership set for model parameters. Techniques of fuzzy logic control lead the network to its...
Persistent link: https://www.econbiz.de/10010749898
Persistent link: https://www.econbiz.de/10010865808