{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,21]],"date-time":"2026-05-21T10:55:57Z","timestamp":1779360957623,"version":"3.51.4"},"publisher-location":"Berlin, Heidelberg","reference-count":13,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"value":"9783642385766","type":"print"},{"value":"9783642385773","type":"electronic"}],"license":[{"start":{"date-parts":[[2013,1,1]],"date-time":"2013-01-01T00:00:00Z","timestamp":1356998400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2013]]},"DOI":"10.1007\/978-3-642-38577-3_70","type":"book-chapter","created":{"date-parts":[[2013,5,20]],"date-time":"2013-05-20T01:31:53Z","timestamp":1369013513000},"page":"674-683","source":"Crossref","is-referenced-by-count":14,"title":["A Study on the Use of Machine Learning Methods for Incidence Prediction in High-Speed Train Tracks"],"prefix":"10.1007","author":[{"given":"Christoph","family":"Bergmeir","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gregorio","family":"S\u00e1inz","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Carlos","family":"Mart\u00ednez Bertrand","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jos\u00e9 Manuel","family":"Ben\u00edtez","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"issue":"7","key":"70_CR1","doi-asserted-by":"crossref","first-page":"1","DOI":"10.18637\/jss.v046.i07","volume":"46","author":"C. Bergmeir","year":"2012","unstructured":"Bergmeir, C., Ben\u00edtez, J.M.: Neural Networks in R Using the Stuttgart Neural Network Simulator: RSNNS. Journal of Statistical Software\u00a046(7), 1\u201326 (2012)","journal-title":"Journal of Statistical Software"},{"issue":"10","key":"70_CR2","doi-asserted-by":"publisher","first-page":"865","DOI":"10.1046\/j.1460-2695.2003.00693.x","volume":"26","author":"D.F. Cannon","year":"2003","unstructured":"Cannon, D.F., Edel, K.-O., Grassie, S.L., Sawley, K.: Rail defects: An overview. Fatigue and Fracture of Engineering Materials and Structures\u00a026(10), 865\u2013886 (2003)","journal-title":"Fatigue and Fracture of Engineering Materials and Structures"},{"key":"70_CR3","unstructured":"Chang, C.-C., Lin, C.-J.: LIBSVM: a library for support vector machines (2001), Software available at \n                    \n                      http:\/\/www.csie.ntu.edu.tw\/~cjlin\/libsvm"},{"issue":"3","key":"70_CR4","doi-asserted-by":"publisher","first-page":"635","DOI":"10.1016\/j.ijforecast.2011.04.001","volume":"27","author":"S.F. Crone","year":"2011","unstructured":"Crone, S.F., Hibon, M., Nikolopoulos, K.: Advances in forecasting with neural networks? empirical evidence from the nn3 competition on time series prediction. International Journal of Forecasting\u00a027(3), 635\u2013660 (2011)","journal-title":"International Journal of Forecasting"},{"key":"70_CR5","doi-asserted-by":"crossref","unstructured":"Dick, C.T., Barkan, C.P.L., Chapman, E.R., Stehly, M.P.: Multivariate statistical model for predicting occurrence and location of broken rails (2003)","DOI":"10.3141\/1825-07"},{"issue":"2","key":"70_CR6","doi-asserted-by":"publisher","first-page":"407","DOI":"10.1214\/009053604000000067","volume":"32","author":"B. Efron","year":"2004","unstructured":"Efron, B., Hastie, T., Johnstone, I., Tibshirani, R., Ishwaran, H., Knight, K., Loubes, J.-M., Massart, P., Madigan, D., Ridgeway, G., Rosset, S., Zhu, J.I., Stine, R.A., Turlach, B.A., Weisberg, S., Hastie, T., Johnstone, I., Tibshirani, R.: Least angle regression. Annals of Statistics\u00a032(2), 407\u2013499 (2004)","journal-title":"Annals of Statistics"},{"issue":"2","key":"70_CR7","doi-asserted-by":"publisher","first-page":"179","DOI":"10.1207\/s15516709cog1402_1","volume":"14","author":"J.L. Elman","year":"1990","unstructured":"Elman, J.L.: Finding structure in time. Cognitive Science\u00a014(2), 179\u2013211 (1990)","journal-title":"Cognitive Science"},{"key":"70_CR8","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1214\/aos\/1176347963","volume":"19","author":"J.H. Friedman","year":"1991","unstructured":"Friedman, J.H.: Multivariate adaptive regression splines. The Annals of Statistics\u00a019, 1\u201367 (1991)","journal-title":"The Annals of Statistics"},{"key":"70_CR9","doi-asserted-by":"crossref","unstructured":"Highs, D., Coal, P.: The potential of ultrasonic surface waves for rail inspection. In: AIP Conference Proceedings, vol.\u00a0760, pp. 227\u2013234 (2005)","DOI":"10.1063\/1.1916682"},{"issue":"1","key":"70_CR10","doi-asserted-by":"publisher","first-page":"20","DOI":"10.1016\/j.ress.2004.11.009","volume":"91","author":"L. Podofillini","year":"2006","unstructured":"Podofillini, L., Zio, E., Vatn, J.: Risk-informed optimisation of railway tracks inspection and maintenance procedures. Reliability Engineering and System Safety\u00a091(1), 20\u201335 (2006)","journal-title":"Reliability Engineering and System Safety"},{"key":"70_CR11","unstructured":"R Development Core Team. R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria (2009)"},{"key":"70_CR12","doi-asserted-by":"crossref","unstructured":"Venables, W.N., Ripley, B.D.: Modern Applied Statistics with S, 4th edn. Springer, New York (2002) ISBN 0-387-95457-0","DOI":"10.1007\/978-0-387-21706-2_14"},{"key":"70_CR13","doi-asserted-by":"crossref","unstructured":"Zhao, J., Chan, A.H.C., Burrow, M.P.N.: Probabilistic model for predicting rail breaks and controlling risk of derailment (2007)","DOI":"10.3141\/1995-10"}],"container-title":["Lecture Notes in Computer Science","Recent Trends in Applied Artificial Intelligence"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-642-38577-3_70","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,5,20]],"date-time":"2019-05-20T01:46:43Z","timestamp":1558316803000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-642-38577-3_70"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2013]]},"ISBN":["9783642385766","9783642385773"],"references-count":13,"URL":"https:\/\/doi.org\/10.1007\/978-3-642-38577-3_70","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2013]]}}}