{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,28]],"date-time":"2026-02-28T23:50:55Z","timestamp":1772322655722,"version":"3.50.1"},"reference-count":28,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2014,3,23]],"date-time":"2014-03-23T00:00:00Z","timestamp":1395532800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Neural Comput &amp; Applic"],"published-print":{"date-parts":[[2016,1]]},"DOI":"10.1007\/s00521-014-1568-2","type":"journal-article","created":{"date-parts":[[2014,3,22]],"date-time":"2014-03-22T07:15:48Z","timestamp":1395472548000},"page":"121-130","source":"Crossref","is-referenced-by-count":55,"title":["Fast detection of impact location using kernel extreme learning machine"],"prefix":"10.1007","volume":"27","author":[{"given":"Heming","family":"Fu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chi-Man","family":"Vong","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Pak-Kin","family":"Wong","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhixin","family":"Yang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2014,3,23]]},"reference":[{"key":"1568_CR1","doi-asserted-by":"crossref","first-page":"706","DOI":"10.1115\/1.1410933","volume":"123","author":"H Sohn","year":"2001","unstructured":"Sohn H, Farrar CR, Hunter NF, Worden K (2001) Structural health monitoring using statistical pattern recognition techniques. Trans Am Soc Mech Eng J Dyn Syst Meas Control 123:706\u2013711","journal-title":"Trans Am Soc Mech Eng J Dyn Syst Meas Control"},{"key":"1568_CR2","doi-asserted-by":"crossref","first-page":"215","DOI":"10.1177\/1475921708090560","volume":"7","author":"LE Mujica","year":"2008","unstructured":"Mujica LE, Vehi J, Staszewski W, Worden K (2008) Impact damage detection in aircraft composites using knowledge-based reasoning. Struct Health Monit 7:215\u2013230","journal-title":"Struct Health Monit"},{"key":"1568_CR3","doi-asserted-by":"crossref","first-page":"672","DOI":"10.1016\/j.jsv.2006.07.019","volume":"299","author":"J LeClerc","year":"2007","unstructured":"LeClerc J, Worden K, Staszewski W, Haywood J (2007) Impact detection in an aircraft composite panel: a neural-network approach. J Sound Vib 299:672\u2013682","journal-title":"J Sound Vib"},{"key":"1568_CR4","doi-asserted-by":"crossref","first-page":"515","DOI":"10.1088\/0964-1726\/16\/2\/033","volume":"16","author":"SE Watkins","year":"2007","unstructured":"Watkins SE, Akhavan F, Dua R, Chandrashekhara K, Wunsch DC (2007) Impact-induced damage characterization of composite plates using neural networks. Smart Mater Struct 16:515","journal-title":"Smart Mater Struct"},{"key":"1568_CR5","doi-asserted-by":"crossref","first-page":"90","DOI":"10.1177\/1045389X9700800109","volume":"8","author":"RT Jones","year":"1997","unstructured":"Jones RT, Sirkis JS, Friebele E (1997) Detection of impact location and magnitude for isotropic plates using neural networks. J Intell Mater Syst Struct 8:90\u201399","journal-title":"J Intell Mater Syst Struct"},{"key":"1568_CR6","doi-asserted-by":"crossref","unstructured":"Jones RT, Sirkis JS, Friebele EJ, Kersey AD (1995) Location and magnitude of impact detection in composite plates using neural networks. In: Smart structures and materials\u2019 95, pp 469\u2013480","DOI":"10.1117\/12.207697"},{"key":"1568_CR7","doi-asserted-by":"crossref","first-page":"180","DOI":"10.1106\/N5E7-M37Y-3MAR-2KFH","volume":"11","author":"D-U Sung","year":"2000","unstructured":"Sung D-U, Oh J-H, Kim C-G, Hong C-S (2000) Impact monitoring of smart composite laminates using neural network and wavelet analysis. J Intell Mater Syst Struct 11:180\u2013190","journal-title":"J Intell Mater Syst Struct"},{"key":"1568_CR8","doi-asserted-by":"crossref","first-page":"547","DOI":"10.1016\/S0045-7949(98)00125-4","volume":"69","author":"MI Friswell","year":"1998","unstructured":"Friswell MI, Penny JET, Garvey SD (1998) A combined genetic and eigensensitivity algorithm for the location of damage in structures. Comput and Struct 69:547\u2013556","journal-title":"Comput and Struct"},{"key":"1568_CR9","doi-asserted-by":"crossref","first-page":"289","DOI":"10.1016\/S0263-8223(01)00100-3","volume":"54","author":"AC Okafor","year":"2001","unstructured":"Okafor AC, Otieno AW, Dutta A, Rao VS (2001) Detection and characterization of high-velocity impact damage in advanced composite plates using multi-sensing techniques. Compos Struct 54:289\u2013297","journal-title":"Compos Struct"},{"key":"1568_CR10","doi-asserted-by":"crossref","unstructured":"Maseras-Gutierrez MA, Staszewski WJ, Found MS, Worden K (1998) Detection of impacts in composite materials using piezoceramic sensors and neural networks. pp 491\u2013497","DOI":"10.1117\/12.316918"},{"key":"1568_CR11","doi-asserted-by":"crossref","first-page":"869","DOI":"10.1016\/j.jsv.2008.06.051","volume":"319","author":"G Yan","year":"2009","unstructured":"Yan G, Zhou L (2009) Impact load identification of composite structure using genetic algorithms. J Sound Vib 319:869\u2013884","journal-title":"J Sound Vib"},{"key":"1568_CR12","doi-asserted-by":"crossref","first-page":"61","DOI":"10.1111\/j.1475-1305.2000.tb01175.x","volume":"36","author":"K Worden","year":"2000","unstructured":"Worden K, Staszewski W (2000) Impact location and quantification on a composite panel using neural networks and a genetic algorithm. Strain 36:61\u201368","journal-title":"Strain"},{"key":"1568_CR13","doi-asserted-by":"crossref","first-page":"1988","DOI":"10.1109\/TIE.2011.2166235","volume":"59","author":"P-K Wong","year":"2012","unstructured":"Wong P-K, Xu Q, Vong C-M, Wong H-C (2012) Rate-dependent hysteresis modeling and control of a piezostage using online support vector machine and relevance vector machine. IEEE Trans Ind Electron 59:1988\u20132001","journal-title":"IEEE Trans Ind Electron"},{"key":"1568_CR14","doi-asserted-by":"crossref","first-page":"1239","DOI":"10.1016\/j.mechatronics.2011.08.006","volume":"21","author":"Q Xu","year":"2011","unstructured":"Xu Q, Wong P-K (2011) Hysteresis modeling and compensation of a piezostage using least squares support vector machines. Mechatronics 21:1239\u20131251","journal-title":"Mechatronics"},{"key":"1568_CR15","doi-asserted-by":"crossref","unstructured":"Xie J (2010) Improved least square support vector machine for structural damage detection. In: 2010 2nd international conference on computer engineering and technology (ICCET), pp V6-237\u2013V6-240","DOI":"10.1109\/ICCET.2010.5486286"},{"key":"1568_CR16","doi-asserted-by":"crossref","unstructured":"Fu H, Xu Q (2013) Locating impact on structural plate using principal component analysis and support vector machines. Math Probl Eng 2013. http:\/\/dx.doi.org\/10.1155\/2013\/352149","DOI":"10.1155\/2013\/352149"},{"key":"1568_CR17","doi-asserted-by":"crossref","unstructured":"Huang GB, Zhu Q-Y, Siew C-K (2004) Extreme learning machine: a new learning scheme of feedforward neural networks. In: Proceedings of 2004 IEEE international joint conference on neural networks, pp 985\u2013990","DOI":"10.1109\/IJCNN.2004.1380068"},{"key":"1568_CR18","doi-asserted-by":"crossref","first-page":"489","DOI":"10.1016\/j.neucom.2005.12.126","volume":"70","author":"G-B Huang","year":"2006","unstructured":"Huang G-B, Zhu Q-Y, Siew C-K (2006) Extreme learning machine: theory and applications. Neurocomputing 70:489\u2013501","journal-title":"Neurocomputing"},{"key":"1568_CR19","doi-asserted-by":"crossref","first-page":"879","DOI":"10.1109\/TNN.2006.875977","volume":"17","author":"G-B Huang","year":"2006","unstructured":"Huang G-B, Chen L, Siew C-K (2006) Universal approximation using incremental constructive feedforward networks with random hidden nodes. IEEE Trans Neural Netw 17:879\u2013892","journal-title":"IEEE Trans Neural Netw"},{"key":"1568_CR20","doi-asserted-by":"crossref","first-page":"107","DOI":"10.1007\/s13042-011-0019-y","volume":"2","author":"G-B Huang","year":"2011","unstructured":"Huang G-B, Wang DH, Lan Y (2011) Extreme learning machines: a survey. Int J Mach Learn Cybernet 2:107\u2013122","journal-title":"Int J Mach Learn Cybernet"},{"key":"1568_CR21","doi-asserted-by":"crossref","first-page":"513","DOI":"10.1109\/TSMCB.2011.2168604","volume":"42","author":"G-B Huang","year":"2012","unstructured":"Huang G-B, Zhou H, Ding X, Zhang R (2012) Extreme learning machine for regression and multiclass classification. IEEE Trans Syst Man Cybern B Cybern 42:513\u2013529","journal-title":"IEEE Trans Syst Man Cybern B Cybern"},{"key":"1568_CR22","doi-asserted-by":"crossref","first-page":"576","DOI":"10.1016\/j.neucom.2007.07.025","volume":"71","author":"G-B Huang","year":"2008","unstructured":"Huang G-B, Li M-B, Chen L, Siew C-K (2008) Incremental extreme learning machine with fully complex hidden nodes. Neurocomputing 71:576\u2013583","journal-title":"Neurocomputing"},{"key":"1568_CR23","doi-asserted-by":"crossref","first-page":"306","DOI":"10.1016\/j.neucom.2005.03.002","volume":"68","author":"M-B Li","year":"2005","unstructured":"Li M-B, Huang G-B, Saratchandran P, Sundararajan N (2005) Fully complex extreme learning machine. Neurocomputing 68:306\u2013314","journal-title":"Neurocomputing"},{"key":"1568_CR24","doi-asserted-by":"crossref","first-page":"1411","DOI":"10.1109\/TNN.2006.880583","volume":"17","author":"N-Y Liang","year":"2006","unstructured":"Liang N-Y, Huang G-B, Saratchandran P, Sundararajan N (2006) A fast and accurate online sequential learning algorithm for feedforward networks. IEEE Trans Neural Netw 17:1411\u20131423","journal-title":"IEEE Trans Neural Netw"},{"key":"1568_CR25","first-page":"232","volume":"2005","author":"G-B Huang","year":"2005","unstructured":"Huang G-B, Liang N-Y, Rong H-J, Saratchandran P, Sundararajan N (2005) On-line sequential extreme learning machine. Comput Intell 2005:232\u2013237","journal-title":"Comput Intell"},{"key":"1568_CR26","doi-asserted-by":"crossref","first-page":"3056","DOI":"10.1016\/j.neucom.2007.02.009","volume":"70","author":"G-B Huang","year":"2007","unstructured":"Huang G-B, Chen L (2007) Convex incremental extreme learning machine. Neurocomputing 70:3056\u20133062","journal-title":"Neurocomputing"},{"key":"1568_CR27","doi-asserted-by":"crossref","first-page":"3460","DOI":"10.1016\/j.neucom.2007.10.008","volume":"71","author":"G-B Huang","year":"2008","unstructured":"Huang G-B, Chen L (2008) Enhanced random search based incremental extreme learning machine. Neurocomputing 71:3460\u20133468","journal-title":"Neurocomputing"},{"key":"1568_CR28","unstructured":"(2013) kernel ELM toolbox, Matlab toolbox for kernel ELM. Available: http:\/\/www.ntu.edu.sg\/home\/egbhuang\/elm_kernel.html"}],"container-title":["Neural Computing and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-014-1568-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s00521-014-1568-2\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-014-1568-2","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,8,8]],"date-time":"2019-08-08T16:29:22Z","timestamp":1565281762000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s00521-014-1568-2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014,3,23]]},"references-count":28,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2016,1]]}},"alternative-id":["1568"],"URL":"https:\/\/doi.org\/10.1007\/s00521-014-1568-2","relation":{},"ISSN":["0941-0643","1433-3058"],"issn-type":[{"value":"0941-0643","type":"print"},{"value":"1433-3058","type":"electronic"}],"subject":[],"published":{"date-parts":[[2014,3,23]]}}}