NARX Recurrent Neural Network Model of the Graphene-Based Electronic Skin Sensors with Hysteretic Behaviour
نویسندگان
چکیده
Abstract The electronic skin described in the article comprises screen-printed graphene-based sensors, intended to be used for robotic applications. precise mathematical model allowing touch pressure estimation is required during its calibration. describes recurrent neural network calibration, which parameters are not homogeneous, and force characteristics have visible hysteretic behaviour. presented method provides a simple alternative models known literature.
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ژورنال
عنوان ژورنال: Lecture notes in networks and systems
سال: 2023
ISSN: ['2367-3370', '2367-3389']
DOI: https://doi.org/10.1007/978-3-031-37649-8_23