{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,9]],"date-time":"2024-09-09T13:30:38Z","timestamp":1725888638980},"publisher-location":"Cham","reference-count":12,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319590806"},{"type":"electronic","value":"9783319590813"}],"license":[{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017]]},"DOI":"10.1007\/978-3-319-59081-3_45","type":"book-chapter","created":{"date-parts":[[2017,5,30]],"date-time":"2017-05-30T03:54:55Z","timestamp":1496116495000},"page":"380-387","source":"Crossref","is-referenced-by-count":2,"title":["Industrial Oil Pipeline Leakage Detection Based on Extreme Learning Machine Method"],"prefix":"10.1007","author":[{"given":"Honglue","family":"Zhang","sequence":"first","affiliation":[]},{"given":"Qi","family":"Li","sequence":"additional","affiliation":[]},{"given":"Xiaoping","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Wei","family":"Ba","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2017,5,31]]},"reference":[{"key":"45_CR1","doi-asserted-by":"crossref","first-page":"142","DOI":"10.1016\/j.psep.2016.08.014","volume":"104","author":"W Lu","year":"2016","unstructured":"Lu, W., Liang, W., Zhang, L., Liu, W.: A novel noise reduction method applied in negative pressure wave for pipeline leakage localization. Process Saf. Environ. Prot. 104, 142\u2013149 (2016)","journal-title":"Process Saf. Environ. Prot."},{"key":"45_CR2","doi-asserted-by":"crossref","first-page":"489","DOI":"10.1016\/j.neucom.2005.12.126","volume":"70","author":"G Huang","year":"2006","unstructured":"Huang, G., Zhu, Q., Siew, C.: Extreme learning machine: a new learning scheme of feedforward neural networks. Neurocomputing 70, 489\u2013501 (2006)","journal-title":"Neurocomputing"},{"key":"45_CR3","doi-asserted-by":"crossref","first-page":"489","DOI":"10.1016\/j.neucom.2005.12.126","volume":"70","author":"G Huang","year":"2006","unstructured":"Huang, G., Zhu, Q., Siew, C.: Extreme learning machine: theory and applications. Neurocomputing 70, 489\u2013501 (2006)","journal-title":"Neurocomputing"},{"key":"45_CR4","doi-asserted-by":"crossref","first-page":"79","DOI":"10.1016\/j.knosys.2016.10.001","volume":"114","author":"AA Hameed","year":"2016","unstructured":"Hameed, A.A., Karlik, B., Salman, M.S.: Back-propagation algorithm with variable adaptive momentum. Knowl.-Based Syst. 114, 79\u201387 (2016)","journal-title":"Knowl.-Based Syst."},{"key":"45_CR5","doi-asserted-by":"crossref","first-page":"834","DOI":"10.1016\/j.asoc.2016.08.001","volume":"49","author":"N Leema","year":"2016","unstructured":"Leema, N., Nehemiah, H.K., Kannan, A.: Neural network classifier optimization using Differential Evolution with Global Information and Back Propagation algorithm for clinical datasets. Appl. Soft Comput. 49, 834\u2013844 (2016)","journal-title":"Appl. Soft Comput."},{"key":"45_CR6","doi-asserted-by":"crossref","first-page":"1617","DOI":"10.1016\/j.enganabound.2013.09.004","volume":"37","author":"M Kindelan","year":"2013","unstructured":"Kindelan, M., Bayona, V.: Application of the RBF meshless method to laminar flame propagation. Eng. Anal. Bound. Elem. 37, 1617\u20131624 (2013)","journal-title":"Eng. Anal. Bound. Elem."},{"key":"45_CR7","first-page":"619","volume":"222","author":"M Uddin","year":"2013","unstructured":"Uddin, M.: RBF-PS scheme for solving the equal width equation. Appl. Math. Comput. 222, 619\u2013631 (2013)","journal-title":"Appl. Math. Comput."},{"key":"45_CR8","doi-asserted-by":"crossref","first-page":"1057","DOI":"10.1016\/j.asoc.2010.02.005","volume":"11","author":"CA Laurentys","year":"2011","unstructured":"Laurentys, C.A., Bomfim, C.H.M., Menezes, B.R., Caminhas, W.M.: Design of a pipeline leakage detection using expert system: a novel approach. Appl. Soft Comput. 11, 1057\u20131066 (2011)","journal-title":"Appl. Soft Comput."},{"key":"45_CR9","doi-asserted-by":"crossref","first-page":"3071","DOI":"10.1016\/j.eswa.2011.08.170","volume":"39","author":"SK Mandal","year":"2012","unstructured":"Mandal, S.K., Chan, T.S., Tiwari, M.K.: Leak detection of pipeline: an integrated approach of rough set theory and artificial bee colony trained SVM. Expert Syst. Appl. 39, 3071\u20133080 (2012)","journal-title":"Expert Syst. Appl."},{"key":"45_CR10","doi-asserted-by":"crossref","first-page":"2559","DOI":"10.1016\/j.cnsns.2013.01.007","volume":"19","author":"JA Rad","year":"2014","unstructured":"Rad, J.A., Kazem, S., Parand, K.: Optimal control of a parabolic distributed parameter system via radial basis functions. Commun. Nonlinear Sci. Numer. Simul. 19, 2559\u20132567 (2014)","journal-title":"Commun. Nonlinear Sci. Numer. Simul."},{"key":"45_CR11","doi-asserted-by":"crossref","first-page":"586","DOI":"10.1016\/j.jlp.2012.12.007","volume":"26","author":"W Liang","year":"2013","unstructured":"Liang, W., Kang, J., Zhang, L.: Leak detection for long transportation pipeline using a state coupling analysis of pump units. J. Loss Prev. Process Ind. 26, 586\u2013593 (2013)","journal-title":"J. Loss Prev. Process Ind."},{"key":"45_CR12","doi-asserted-by":"crossref","first-page":"434","DOI":"10.1016\/j.measurement.2014.05.012","volume":"55","author":"J Sun","year":"2014","unstructured":"Sun, J., Xiao, Q., Wen, J., Wang, F.: Natural gas pipeline small leakage feature extraction and recognition based on LMD envelope spectrum entropy and SVM. Measurement 55, 434\u2013443 (2014)","journal-title":"Measurement"}],"container-title":["Lecture Notes in Computer Science","Advances in Neural Networks - ISNN 2017"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-59081-3_45","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2017,5,30]],"date-time":"2017-05-30T04:06:44Z","timestamp":1496117204000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-59081-3_45"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"ISBN":["9783319590806","9783319590813"],"references-count":12,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-59081-3_45","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2017]]}}}