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The corrosion current density determines the degree and the speed of stray current corrosion. A method combining electrochemical experiment with the machine learning algorithm was utilized in this research to study the corrosion current density under the coupling action of stray current and chloride ion. In this study, a quantum particle swarm optimization\u2010neural network (QPSO\u2010NN) model was built up to predict the corrosion current density in the process of stray current corrosion. The QPSO algorithm was employed to optimize the updating process of weights and biases in the artificial neural network (ANN). The results show that the accuracy of the proposed QPSO\u2010NN model is better than the model based on backpropagation neural network (BPNN) and particle swarm optimization\u2010neural network (PSO\u2010NN). The accuracy distribution of the QPSO\u2010NN model is more stable than that of the BPNN model and the PSO\u2010NN model. The presented model can be used for the prediction of corrosion current density and provides the possibility to monitor the stray current corrosion in subway system through an intelligent learning algorithm.<\/jats:p>","DOI":"10.1155\/2019\/3429816","type":"journal-article","created":{"date-parts":[[2019,10,31]],"date-time":"2019-10-31T23:37:01Z","timestamp":1572565021000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Prediction Model of Corrosion Current Density Induced by Stray Current Based on QPSO\u2010Driven Neural Network"],"prefix":"10.1155","volume":"2019","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1655-6818","authenticated-orcid":false,"given":"Chengtao","family":"Wang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7586-4829","authenticated-orcid":false,"given":"Wei","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Gaifang","family":"Xin","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuqiao","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shaoyi","family":"Xu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2019,10,31]]},"reference":[{"key":"e_1_2_10_1_2","first-page":"221","article-title":"Research on integrated monitoring and prevention system for stray current in metro","volume":"11","author":"Li W.","year":"2001","journal-title":"International Journal of Mining Science and Technology"},{"key":"e_1_2_10_2_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.engfailanal.2008.05.011"},{"key":"e_1_2_10_3_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.jngse.2013.09.003"},{"key":"e_1_2_10_4_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.corsci.2006.05.048"},{"key":"e_1_2_10_5_2","doi-asserted-by":"publisher","DOI":"10.3151\/jact.11.119"},{"key":"e_1_2_10_6_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ress.2018.07.012"},{"key":"e_1_2_10_7_2","doi-asserted-by":"publisher","DOI":"10.1109\/tvt.2013.2265093"},{"key":"e_1_2_10_8_2","doi-asserted-by":"publisher","DOI":"10.1108\/00035591011075869"},{"key":"e_1_2_10_9_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.measurement.2014.11.011"},{"key":"e_1_2_10_10_2","doi-asserted-by":"publisher","DOI":"10.1016\/S1452-3981(23)14684-0"},{"key":"e_1_2_10_11_2","doi-asserted-by":"publisher","DOI":"10.1007\/s11771-014-2024-2"},{"key":"e_1_2_10_12_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.corsci.2008.10.038"},{"key":"e_1_2_10_13_2","doi-asserted-by":"publisher","DOI":"10.1155\/2017\/3508189"},{"key":"e_1_2_10_14_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.matlet.2006.06.053"},{"key":"e_1_2_10_15_2","first-page":"438","article-title":"Prediction of danger degree of corrosion induced by stray current for metro by using BP artificial neural network","volume":"17","author":"Li W.","year":"2005","journal-title":"Corrosion Science and Protection Technology"},{"key":"e_1_2_10_16_2","doi-asserted-by":"publisher","DOI":"10.1016\/s0378-7753(02)00314-2"},{"key":"e_1_2_10_17_2","doi-asserted-by":"publisher","DOI":"10.1080\/07408170208928869"},{"key":"e_1_2_10_18_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.enconman.2006.06.024"},{"key":"e_1_2_10_19_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.apenergy.2008.06.006"},{"key":"e_1_2_10_20_2","doi-asserted-by":"publisher","DOI":"10.1111\/j.1477-9730.2007.00454.x"},{"key":"e_1_2_10_21_2","doi-asserted-by":"publisher","DOI":"10.1016\/0893-6080(95)00016-s"},{"key":"e_1_2_10_22_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.corsci.2009.10.024"},{"key":"e_1_2_10_23_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.acme.2012.10.007"},{"key":"e_1_2_10_24_2","doi-asserted-by":"crossref","unstructured":"WuX. 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