Title: Implementation of Neuro-fuzzy Control Systems
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.
Publication Year: 2021
Publication Date: 2021-09-21
Language: en
Type: article
Indexed In: ['crossref']
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Cited By Count: 1
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