{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,5]],"date-time":"2024-09-05T14:01:51Z","timestamp":1725544911400},"publisher-location":"Berlin, Heidelberg","reference-count":12,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783540422372"},{"type":"electronic","value":"9783540457237"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2001]]},"DOI":"10.1007\/3-540-45723-2_64","type":"book-chapter","created":{"date-parts":[[2010,2,11]],"date-time":"2010-02-11T14:39:51Z","timestamp":1265899191000},"page":"531-538","source":"Crossref","is-referenced-by-count":2,"title":["A Thermocouple Model Based on Neural Networks"],"prefix":"10.1007","author":[{"given":"Nicol\u00e1s","family":"Medrano-Marqu\u00e9s","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rafael","family":"del -Hoyo-Alonso","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bonifacio","family":"Mart\u00edn-del-Br\u00edo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2001,6,12]]},"reference":[{"key":"64_CR1","doi-asserted-by":"crossref","unstructured":"Webster, J.G.: The Measurement, Instrumentation and Sensors Handbook. CRC-Press, (1999)","DOI":"10.1201\/9781003040019"},{"issue":"3","key":"64_CR2","doi-asserted-by":"publisher","first-page":"747","DOI":"10.1109\/19.772215","volume":"48","author":"M. Wisniewsky","year":"1999","unstructured":"Wisniewsky, M., Morawsky, R., Barwicz, A.: Modeling the Spectrometric Microtransducer. IEEE Transactions on Instrumentation and Measurement, vol. 48,no. 3, (1999) 747\u2013752","journal-title":"IEEE Transactions on Instrumentation and Measurement"},{"issue":"2","key":"64_CR3","doi-asserted-by":"publisher","first-page":"494","DOI":"10.1109\/19.744197","volume":"47","author":"J. Dias Pereira","year":"1998","unstructured":"Dias Pereira, J., Postolache, O., Silva Gir\u00e3o, P.: A Temperature-Compensated System for Magnetic Field Measurements Based on Artificial Neural Networks. IEEE Transactions on Instrumentation and Measurement, vol. 47,no.2, (1998), 494\u2013498","journal-title":"IEEE Transactions on Instrumentation and Measurement"},{"key":"64_CR4","unstructured":"The Omega Temperature Handbook. Omega Engineering Inc., (1998)"},{"key":"64_CR5","unstructured":"NIST web page: http:\/\/srdata.\/\/nist.gov\/its90\/main"},{"key":"64_CR6","doi-asserted-by":"crossref","unstructured":"Rojas, R.: Neural Networks, a Systematic Introduction. Springer-Verlag, (1996)","DOI":"10.1007\/978-3-642-61068-4"},{"key":"64_CR7","unstructured":"Haykin, S.: Neural Networks, a Comprehensive Foundation. Prentice Hall (2nd ed.), (1999)"},{"key":"64_CR8","doi-asserted-by":"publisher","first-page":"321","DOI":"10.1023\/A:1008203205356","volume":"13","author":"G.L. Dempsey","year":"1997","unstructured":"Dempsey, G.L et al.: Control sensor linearization using artificial neural networks. Analog Integrated Circuits and Signal Processing, 13, (1997) 321\u2013332","journal-title":"Analog Integrated Circuits and Signal Processing"},{"issue":"2","key":"64_CR9","doi-asserted-by":"publisher","first-page":"362","DOI":"10.1109\/19.744175","volume":"47","author":"D. Massicotte","year":"1998","unstructured":"Massicotte, D., Legendre, S., Barwicz, A.: Neural-Network-Based Method of Calibration and Measure Reconstruction for a High-Pressure Measuring System. IEEE Transactions on Instrumentation and Measurement, vol. 47,no. 2, (1998) 362\u2013370","journal-title":"IEEE Transactions on Instrumentation and Measurement"},{"key":"64_CR10","unstructured":"Medrano-Marqu\u00e9s, N.J., Mart\u00edn-del-Br\u00edo, B.: A General Method for Sensor Linearization Based on Neural Networks. Proc. of the 2000 IEEE International Symposium on Circuits and Systems ISCAS\u20192000. Geneva, Switzerland, (2000) 497\u2013500"},{"issue":"6","key":"64_CR11","doi-asserted-by":"publisher","first-page":"989","DOI":"10.1109\/72.329697","volume":"5","author":"M. Hagan","year":"1994","unstructured":"Hagan, M., Mohammad, B.: Training Feedforward Networks with the Marquardt Algorithm. IEEE Transactions on Neural Networks, vol. 5no. 6, (1994) 989\u2013993","journal-title":"IEEE Transactions on Neural Networks"},{"key":"64_CR12","unstructured":"Neural Networks Toolbox User\u2019s Guide, MatLAB Reference Guide, (1997)"}],"container-title":["Lecture Notes in Computer Science","Bio-Inspired Applications of Connectionism"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/3-540-45723-2_64","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,10,22]],"date-time":"2021-10-22T16:10:16Z","timestamp":1634919016000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/3-540-45723-2_64"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2001]]},"ISBN":["9783540422372","9783540457237"],"references-count":12,"URL":"https:\/\/doi.org\/10.1007\/3-540-45723-2_64","relation":{},"ISSN":["0302-9743"],"issn-type":[{"type":"print","value":"0302-9743"}],"subject":[],"published":{"date-parts":[[2001]]}}}