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The precise mathematical model allowing the touch pressure estimation is required during its calibration. The article describes the recurrent neural network model for graphene-based electronic skin calibration, in which parameters are not homogeneous, and the touch force characteristics have visible hysteretic behaviour. The presented method provides a simple alternative to the models known in the literature.<\/jats:p>","DOI":"10.1007\/978-3-031-37649-8_23","type":"book-chapter","created":{"date-parts":[[2023,7,25]],"date-time":"2023-07-25T04:02:08Z","timestamp":1690257728000},"page":"233-241","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["NARX Recurrent Neural Network Model of\u00a0the\u00a0Graphene-Based Electronic Skin Sensors with\u00a0Hysteretic Behaviour"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2677-0113","authenticated-orcid":false,"given":"Jakub","family":"Mo\u017caryn","sequence":"first","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,7,25]]},"reference":[{"key":"23_CR1","doi-asserted-by":"publisher","unstructured":"Alimi, A., Assaker, I.B., Mozaryn, J., \u00c1vila Brande, D., Castillo-Mart\u00ednez, E., Chtourou, R.: Electrochemical synthesis of mno2\/nio\/zno trijunction coated stainless steel substrate as a supercapacitor electrode and cyclic voltammetry behavior modeling using artificial neural network. 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