{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,7]],"date-time":"2024-09-07T22:15:09Z","timestamp":1725747309187},"publisher-location":"Berlin, Heidelberg","reference-count":17,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783642406683"},{"type":"electronic","value":"9783642406690"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2013]]},"DOI":"10.1007\/978-3-642-40669-0_3","type":"book-chapter","created":{"date-parts":[[2013,9,4]],"date-time":"2013-09-04T13:40:52Z","timestamp":1378302052000},"page":"21-29","source":"Crossref","is-referenced-by-count":7,"title":["Application of Artificial Neural Networks to Predict the Impact of Traffic Emissions on Human Health"],"prefix":"10.1007","author":[{"given":"T\u00e2nia","family":"Fontes","sequence":"first","affiliation":[]},{"given":"Lu\u00eds M.","family":"Silva","sequence":"additional","affiliation":[]},{"given":"S\u00e9rgio R.","family":"Pereira","sequence":"additional","affiliation":[]},{"given":"Margarida C.","family":"Coelho","sequence":"additional","affiliation":[]}],"member":"297","reference":[{"key":"3_CR1","doi-asserted-by":"crossref","unstructured":"Bishop, C.M.: Neural Networks for Pattern Recognition. Oxford University Press (1995)","DOI":"10.1201\/9781420050646.ptb6"},{"key":"3_CR2","doi-asserted-by":"publisher","first-page":"32","DOI":"10.1016\/j.trd.2008.10.004","volume":"14","author":"M. Cai","year":"2009","unstructured":"Cai, M., Yin, Y., Xie, M.: Prediction of hourly air pollutant concentrations near urban arterials using artificial neural network approach. Transportation Research Part D: Transport and Environment\u00a014, 32\u201341 (2009)","journal-title":"Transportation Research Part D: Transport and Environment"},{"key":"3_CR3","doi-asserted-by":"publisher","first-page":"564","DOI":"10.1016\/j.neucom.2012.06.003","volume":"99","author":"K.Y. Chan","year":"2013","unstructured":"Chan, K.Y., Jian, L.: Identification of significant factors for air pollution levels using a neural network based knowledge discovery system. Neurocomputing\u00a099, 564\u2013569 (2013)","journal-title":"Neurocomputing"},{"key":"3_CR4","doi-asserted-by":"publisher","first-page":"303","DOI":"10.1007\/BF02551274","volume":"2","author":"G. Cybenko","year":"1989","unstructured":"Cybenko, G.: Aproximation by superpositios of a sigmoidal function. Math. Control Signals System\u00a02, 303\u2013314 (1989)","journal-title":"Math. Control Signals System"},{"key":"3_CR5","unstructured":"Directive 2008\/50\/EC: European Parliament and of the Council of 21 May 2008 on ambient air quality and cleaner air for Europe entered into force on 11June 2008"},{"key":"3_CR6","unstructured":"Haykin, S.: Neural Networks and Learning Machines, 3rd edn. Prentice Hall (2009)"},{"key":"3_CR7","doi-asserted-by":"publisher","first-page":"622","DOI":"10.1016\/j.envsoft.2007.09.003","volume":"23","author":"G. Ibarra-Berastegi","year":"2008","unstructured":"Ibarra-Berastegi, G., Elias, A., Barona, A., Saenz, J., Ezcurra, A., Argandona, J.D.: From diagnosis to prognosis for forecasting air pollution using neural networks: Air pollution monitoring in Bilbao. Environmental Modelling & Software\u00a023, 622\u2013637 (2008)","journal-title":"Environmental Modelling & Software"},{"key":"3_CR8","doi-asserted-by":"crossref","unstructured":"Marques de S\u00e1, J., Silva, L.M., Santos, J.M., Alexandre, L.A.: Minimum Error Entropy Classification. SCI, vol.\u00a0420. Springer (2012)","DOI":"10.1007\/978-3-642-29029-9"},{"key":"3_CR9","unstructured":"MathWorks, MATLAB and Statistics Toolbox Release 2012, The MathWorks, Inc., Natick, Massachusetts, United States (2012)"},{"key":"3_CR10","doi-asserted-by":"crossref","unstructured":"Matsuoka, K., Yi, J.: Backpropagation based on the logarithmic error function and elimination of local minima. In: Proceedings of the 1990 IEEE International Joint Conference on Neural Networks (1991)","DOI":"10.1109\/IJCNN.1991.170546"},{"key":"3_CR11","doi-asserted-by":"publisher","first-page":"116","DOI":"10.1007\/s10098-004-0267-6","volume":"7","author":"S.S.M. Nagendra","year":"2005","unstructured":"Nagendra, S.S.M., Khare, M.: Modelling urban air quality using artificial neural network. Clean Techn. Environ. Policy\u00a07, 116\u2013126 (2005)","journal-title":"Clean Techn. Environ. Policy"},{"key":"3_CR12","doi-asserted-by":"publisher","first-page":"559","DOI":"10.1016\/j.envsoft.2004.06.011","volume":"21","author":"T. Slini","year":"2006","unstructured":"Slini, T., Kaprara, A., Karatzas, K., Moussiopoulos, N.: PM10 forecasting for Thessaloniki, Greece. Environmental Modelling & Software\u00a021, 559\u2013565 (2006)","journal-title":"Environmental Modelling & Software"},{"issue":"6","key":"3_CR13","first-page":"625","volume":"2","author":"S. Solla","year":"1988","unstructured":"Solla, S., Levin, E., Fleisher, M.: Accelerated learning in layered neural networks. Complex Systems\u00a02(6), 625\u2013639 (1988)","journal-title":"Complex Systems"},{"key":"3_CR14","doi-asserted-by":"publisher","first-page":"27","DOI":"10.1016\/S0304-3800(01)00434-3","volume":"148","author":"P. Viotti","year":"2002","unstructured":"Viotti, P., Liuti, G., Di, P.: Atmospheric urban pollution: applications of an artificial neural network (ANN) to the city of Perugia. Ecological Modelling\u00a0148, 27\u201346 (2002)","journal-title":"Ecological Modelling"},{"key":"3_CR15","doi-asserted-by":"publisher","first-page":"1266","DOI":"10.1016\/j.scitotenv.2010.12.039","volume":"409","author":"D. Voukantsis","year":"2011","unstructured":"Voukantsis, D., Karatzas, K., Kukkonen, J., Rasanen, T., Karppinen, A., Kolehmainen, M.: Intercomparison of air quality data using principal component analysis, and forecasting of PM10 and PM2.5 concentrations using artificial neural networks. Thessaloniki and Helsinki, Science of The Total Environment\u00a0409, 1266\u20131276 (2011)","journal-title":"Thessaloniki and Helsinki, Science of The Total Environment"},{"key":"3_CR16","doi-asserted-by":"publisher","first-page":"885","DOI":"10.1016\/j.envsoft.2005.04.008","volume":"21","author":"A. Zolghadri","year":"2006","unstructured":"Zolghadri, A., Cazaurang, F.: Adaptive nonlinear state-space modeling for the prediction of daily mean PM10 concentrations. Environmental Modelling & Software\u00a021, 885\u2013894 (2006)","journal-title":"Environmental Modelling & Software"},{"key":"3_CR17","unstructured":"WMO, Guide to meteorological instruments and methods of observation, 6th edn., World Meteorological Organization, No. 8 (1996)"}],"container-title":["Lecture Notes in Computer Science","Progress in Artificial Intelligence"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-642-40669-0_3","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,8,3]],"date-time":"2020-08-03T05:06:41Z","timestamp":1596431201000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-642-40669-0_3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2013]]},"ISBN":["9783642406683","9783642406690"],"references-count":17,"URL":"https:\/\/doi.org\/10.1007\/978-3-642-40669-0_3","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2013]]}}}