Research on graphene/silicon pressure sensor array based on backpropagation neural network
Abstract In order to improve the recognition accuracy of graphene pressure sensors, a graphene/silicon pressure sensor array is studied based on backpropagation (BP) neural network. The principle of the pressure sensor array and the workflow of BP neural network are introduced. The 100 groups of tra...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2021-05-01
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| Series: | Electronics Letters |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/ell2.12104 |
| _version_ | 1828736223324143616 |
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| author | Fangqing Li Shuxing Fang Yu Shen Debo Wang |
| author_facet | Fangqing Li Shuxing Fang Yu Shen Debo Wang |
| author_sort | Fangqing Li |
| collection | DOAJ |
| description | Abstract In order to improve the recognition accuracy of graphene pressure sensors, a graphene/silicon pressure sensor array is studied based on backpropagation (BP) neural network. The principle of the pressure sensor array and the workflow of BP neural network are introduced. The 100 groups of training samples ranging from 0 to 1000 kPa are studied based on levenberg‐marquardt (L‐M) optimisation algorithm, and a multiple BP (M‐BP) neural network is designed to improve the recognition accuracy of the pressure sensor array. The training recognition accuracy and test recognition accuracy of M‐BP neural network are about 99.9%. This work plays an important role in the application of graphene pressure sensors in more fields, especially in the solutions for weak pressure detection in artificial intelligence and human‐computer interaction. |
| first_indexed | 2024-04-12T23:21:16Z |
| format | Article |
| id | doaj.art-52b6a5b22d8848d9bf721dbc05d02aec |
| institution | Directory Open Access Journal |
| issn | 0013-5194 1350-911X |
| language | English |
| last_indexed | 2024-04-12T23:21:16Z |
| publishDate | 2021-05-01 |
| publisher | Wiley |
| record_format | Article |
| series | Electronics Letters |
| spelling | doaj.art-52b6a5b22d8848d9bf721dbc05d02aec2022-12-22T03:12:31ZengWileyElectronics Letters0013-51941350-911X2021-05-01571041942110.1049/ell2.12104Research on graphene/silicon pressure sensor array based on backpropagation neural networkFangqing Li0Shuxing Fang1Yu Shen2Debo Wang3College of Electronic and Optical Engineering & College of Microelectronics Nanjing University of Posts and Telecommunications Nanjing People's Republic of ChinaSchool of Nano‐Tech and Nano‐Bionics University of Science and Technology of China Hefei People's Republic of ChinaSchool of Science and Information Science Qingdao Agricultural University Qingdao People's Republic of ChinaCollege of Electronic and Optical Engineering & College of Microelectronics Nanjing University of Posts and Telecommunications Nanjing People's Republic of ChinaAbstract In order to improve the recognition accuracy of graphene pressure sensors, a graphene/silicon pressure sensor array is studied based on backpropagation (BP) neural network. The principle of the pressure sensor array and the workflow of BP neural network are introduced. The 100 groups of training samples ranging from 0 to 1000 kPa are studied based on levenberg‐marquardt (L‐M) optimisation algorithm, and a multiple BP (M‐BP) neural network is designed to improve the recognition accuracy of the pressure sensor array. The training recognition accuracy and test recognition accuracy of M‐BP neural network are about 99.9%. This work plays an important role in the application of graphene pressure sensors in more fields, especially in the solutions for weak pressure detection in artificial intelligence and human‐computer interaction.https://doi.org/10.1049/ell2.12104Pressure measurementPressure and vacuum measurement |
| spellingShingle | Fangqing Li Shuxing Fang Yu Shen Debo Wang Research on graphene/silicon pressure sensor array based on backpropagation neural network Electronics Letters Pressure measurement Pressure and vacuum measurement |
| title | Research on graphene/silicon pressure sensor array based on backpropagation neural network |
| title_full | Research on graphene/silicon pressure sensor array based on backpropagation neural network |
| title_fullStr | Research on graphene/silicon pressure sensor array based on backpropagation neural network |
| title_full_unstemmed | Research on graphene/silicon pressure sensor array based on backpropagation neural network |
| title_short | Research on graphene/silicon pressure sensor array based on backpropagation neural network |
| title_sort | research on graphene silicon pressure sensor array based on backpropagation neural network |
| topic | Pressure measurement Pressure and vacuum measurement |
| url | https://doi.org/10.1049/ell2.12104 |
| work_keys_str_mv | AT fangqingli researchongraphenesiliconpressuresensorarraybasedonbackpropagationneuralnetwork AT shuxingfang researchongraphenesiliconpressuresensorarraybasedonbackpropagationneuralnetwork AT yushen researchongraphenesiliconpressuresensorarraybasedonbackpropagationneuralnetwork AT debowang researchongraphenesiliconpressuresensorarraybasedonbackpropagationneuralnetwork |