{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,6]],"date-time":"2026-03-06T01:40:23Z","timestamp":1772761223785,"version":"3.50.1"},"reference-count":33,"publisher":"MDPI AG","issue":"10","license":[{"start":{"date-parts":[[2016,10,14]],"date-time":"2016-10-14T00:00:00Z","timestamp":1476403200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100002855","name":"Ministry of Science and Technology of the People's Republic of China","doi-asserted-by":"publisher","award":["2014AA042001"],"award-info":[{"award-number":["2014AA042001"]}],"id":[{"id":"10.13039\/501100002855","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>A piezo-resistive pressure sensor is made of silicon, the nature of which is considerably influenced by ambient temperature. The effect of temperature should be eliminated during the working period in expectation of linear output. To deal with this issue, an approach consists of a hybrid kernel Least Squares Support Vector Machine (LSSVM) optimized by a chaotic ions motion algorithm presented. To achieve the learning and generalization for excellent performance, a hybrid kernel function, constructed by a local kernel as Radial Basis Function (RBF) kernel, and a global kernel as polynomial kernel is incorporated into the Least Squares Support Vector Machine. The chaotic ions motion algorithm is introduced to find the best hyper-parameters of the Least Squares Support Vector Machine. The temperature data from a calibration experiment is conducted to validate the proposed method. With attention on algorithm robustness and engineering applications, the compensation result shows the proposed scheme outperforms other compared methods on several performance measures as maximum absolute relative error, minimum absolute relative error mean and variance of the averaged value on fifty runs. Furthermore, the proposed temperature compensation approach lays a foundation for more extensive research.<\/jats:p>","DOI":"10.3390\/s16101707","type":"journal-article","created":{"date-parts":[[2016,10,14]],"date-time":"2016-10-14T09:40:29Z","timestamp":1476438029000},"page":"1707","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":21,"title":["A Temperature Compensation Method for Piezo-Resistive Pressure Sensor Utilizing Chaotic Ions Motion Algorithm Optimized Hybrid Kernel LSSVM"],"prefix":"10.3390","volume":"16","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0085-0713","authenticated-orcid":false,"given":"Ji","family":"Li","sequence":"first","affiliation":[{"name":"Department of Mechanical and Electrical Engineering, School of Aerospace Engineering, Xiamen University, Xiamen 361005, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Guoqing","family":"Hu","sequence":"additional","affiliation":[{"name":"Department of Mechanical and Electrical Engineering, School of Aerospace Engineering, Xiamen University, Xiamen 361005, China"},{"name":"Department of Mechatronics Engineering, School of Mechanical &amp; Automotive Engineering, South China University of Technology, Guangzhou 510640, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yonghong","family":"Zhou","sequence":"additional","affiliation":[{"name":"Fujian Wide Plus Precision Instruments Co. Ltd., Fuzhou 350015, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chong","family":"Zou","sequence":"additional","affiliation":[{"name":"Fujian Wide Plus Precision Instruments Co. Ltd., Fuzhou 350015, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wei","family":"Peng","sequence":"additional","affiliation":[{"name":"Department of Mechatronics Engineering, School of Mechanical &amp; Automotive Engineering, South China University of Technology, Guangzhou 510640, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jahangir","family":"Alam SM","sequence":"additional","affiliation":[{"name":"Department of Mechatronics Engineering, School of Mechanical &amp; Automotive Engineering, South China University of Technology, Guangzhou 510640, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2016,10,14]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"12174","DOI":"10.3390\/s140712174","article-title":"A smart high accuracy silicon piezoresistive pressure sensor temperature compensation system","volume":"14","author":"Zhou","year":"2014","journal-title":"Sensors"},{"key":"ref_2","first-page":"371","article-title":"Transistor Compensation Technology of Pressure Sensor Sensitivity Temperature Coefficient","volume":"43","author":"Wang","year":"2011","journal-title":"Adv. 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