{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,17]],"date-time":"2025-10-17T19:47:24Z","timestamp":1760730444832},"reference-count":17,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2013,4,23]],"date-time":"2013-04-23T00:00:00Z","timestamp":1366675200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Evolving Systems"],"published-print":{"date-parts":[[2013,12]]},"DOI":"10.1007\/s12530-013-9078-5","type":"journal-article","created":{"date-parts":[[2013,4,22]],"date-time":"2013-04-22T10:18:24Z","timestamp":1366625904000},"page":"221-233","source":"Crossref","is-referenced-by-count":10,"title":["Neurocomputing techniques to dynamically forecast spatiotemporal air pollution data"],"prefix":"10.1007","volume":"4","author":[{"given":"Antonios","family":"Papaleonidas","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lazaros","family":"Iliadis","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2013,4,23]]},"reference":[{"key":"9078_CR1","volume-title":"Neural networks: a comprehensive foundation","author":"S Haykin","year":"1999","unstructured":"Haykin S (1999) Neural networks: a comprehensive foundation. Prentice Hall, USA"},{"key":"9078_CR2","unstructured":"Iliadis L (2007) Intelligent information systems and applications in risk estimation. Herodotus Publications,\u00a0Thessaloniki, Greece"},{"key":"9078_CR3","unstructured":"Iliadis L, Spartalis S, Paschalidou A, Kassomenos P (2007) Artificial neural network modeling of the surface ozone concentration. Int J Comput Appl Math 2(2):125\u2013138"},{"issue":"10","key":"9078_CR4","doi-asserted-by":"crossref","first-page":"897","DOI":"10.1002\/clen.201000138","volume":"38","author":"F Inal","year":"2010","unstructured":"Inal F (2010) Artificial neural network prediction of tropospheric ozone concentrations in Istanbul, Turkey. CLEAN Soil Air Water 38(10):897\u2013908","journal-title":"CLEAN Soil Air Water"},{"key":"9078_CR5","unstructured":"Jones MT (2005) AI application programming, 2nd edn. Charles River Media, Hingham, MA"},{"key":"9078_CR6","volume-title":"Learning and soft computing","author":"V Kecman","year":"2001","unstructured":"Kecman V (2001) Learning and soft computing. MIT Press, USA"},{"key":"9078_CR7","unstructured":"Ministry of Environment, Energy & Climate Change (2010) Air quality, reports, air pollution 2009 annual report. http:\/\/www.ypeka.gr\/LinkClick.aspx?fileticket=NIpIqbQg"},{"key":"9078_CR8","unstructured":"Ministry of Environment, Energy & Climate Change (2011) Air quality, reports, air pollution 2010 annual report, April 2011. http:\/\/www.ypeka.gr\/LinkClick.aspx?fileticket=5mmiFX%2b4n2M%3d&tabid=490&language=el-GR"},{"key":"9078_CR9","unstructured":"Ministry of Environment, Energy & Climate Change (2012) Air pollution measurements. http:\/\/www.ypeka.gr\/Default.aspx?tabid=495&language=el-GR . Valid at 15 Apr 2012"},{"issue":"5","key":"9078_CR10","doi-asserted-by":"crossref","first-page":"907","DOI":"10.1007\/s00376-007-0907-y","volume":"24","author":"HK Ozcan","year":"2007","unstructured":"Ozcan HK, Bilgili E, Sahin U, Bayat C (2007) Modeling of tropospheric ozone concentrations using genetically trained multi-level cellular neural networks. Adv Atmos Sci 24(5):907\u2013914","journal-title":"Adv Atmos Sci"},{"key":"9078_CR11","doi-asserted-by":"crossref","unstructured":"Ozdemir H, Demir G, Altay G, Albayrak S, Bayat C (2008) Prediction of tropospheric ozone concentration by employing artificial neural networks. Environ Eng Sci 25(9):1249\u20131254","DOI":"10.1089\/ees.2007.0183"},{"key":"9078_CR12","doi-asserted-by":"crossref","unstructured":"Paoli C (2011) A neural network model forecasting for prediction of hourly ozone concentration in Corsica. In: Proceedings IEEE of the 10th international conference on environment and electrical engineering (EEEIC)","DOI":"10.1109\/EEEIC.2011.5874661"},{"key":"9078_CR13","doi-asserted-by":"crossref","unstructured":"Papaleonidas A, Iliadis L (2012a) Employing ANN that estimate ozone in a short-term scale when monitoring stations malfunction. In: Proceedings of the 13th international conference engineering applications of neural networks (EANN 2012), CCIS311, pp 71\u201380","DOI":"10.1007\/978-3-642-32909-8_8"},{"key":"9078_CR14","doi-asserted-by":"crossref","unstructured":"Papaleonidas A, Iliadis L (2012b) Hybrid and reinforcement multi agent technology for real time air pollution monitoring. In: Proceedings of the 8th IFIP WG12.5 artificial intelligence applications and innovations (AIAI 2012), AICT 381, pp 274\u2013284","DOI":"10.1007\/978-3-642-33409-2_29"},{"key":"9078_CR15","unstructured":"Paschalidou A, Iliadis L, Kassomenos P, Bezirtzoglou C (2007) Neural modeling of the tropospheric ozone concentrations in an urban site. In: Proceedings of the 10th international conference engineering applications of neural networks, pp 436\u2013445"},{"key":"9078_CR16","unstructured":"Taylor JB (2006) Methods and procedures for the verification and validation of artificial neural networks. Springer Publications, Berlin"},{"key":"9078_CR17","doi-asserted-by":"crossref","unstructured":"Wahab ASA, Al-Alawi SM (2002) Assessment and prediction of tropospheric ozone concentration levels using artificial neural networks. Environ Model Softw 17:219\u2013228","DOI":"10.1016\/S1364-8152(01)00077-9"}],"container-title":["Evolving Systems"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s12530-013-9078-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s12530-013-9078-5\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s12530-013-9078-5","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,7,12]],"date-time":"2019-07-12T22:26:39Z","timestamp":1562970399000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s12530-013-9078-5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2013,4,23]]},"references-count":17,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2013,12]]}},"alternative-id":["9078"],"URL":"https:\/\/doi.org\/10.1007\/s12530-013-9078-5","relation":{},"ISSN":["1868-6478","1868-6486"],"issn-type":[{"value":"1868-6478","type":"print"},{"value":"1868-6486","type":"electronic"}],"subject":[],"published":{"date-parts":[[2013,4,23]]}}}