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- W3207109968 abstract "Neuro-fuzzy approach for implementing control systems is considered. Neuro-fuzzy systems are a tool for a development of trainable control systems with high interpretability. These systems can be trained to work in new conditions. There is a possibility to analyze the actions, which implement the control. Examples of neuro-fuzzy control applications are presented: virtual assistant and automatic calibration system." @default.
- W3207109968 created "2021-10-25" @default.
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- W3207109968 date "2021-09-21" @default.
- W3207109968 modified "2023-09-27" @default.
- W3207109968 title "Implementation of Neuro-fuzzy Control Systems" @default.
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- W3207109968 doi "https://doi.org/10.1109/cts53513.2021.9562822" @default.
- W3207109968 hasPublicationYear "2021" @default.
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