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- W2259202341 abstract "This paper describes a novel intelligent approach for modeling and controlling of the non-linear dynamical systems. The approach combines dynamic data mining and soft computing techniques to achieve the goal of modeling and controlling the non-linear dynamic systems. The system that was considered is the electrochemical nickel cadmium battery charging, which is a non-linear dynamic process. The time is reduced for charging batteries with the use of dynamic data mining, recurrent fuzzy neural network and genetic algorithm. In the proposed approach, genetic algorithm used to train the recurrent fuzzy neural network and data mining used for rule extraction." @default.
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- W2259202341 date "2013-01-01" @default.
- W2259202341 modified "2023-10-02" @default.
- W2259202341 title "A NOVEL CONTROL OF NON-LINEAR DYNAMIC SYSTEMS" @default.
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