{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,5]],"date-time":"2025-03-05T19:10:14Z","timestamp":1741201814401,"version":"3.38.0"},"publisher-location":"Berlin, Heidelberg","reference-count":17,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783642210891"},{"type":"electronic","value":"9783642210907"}],"license":[{"start":{"date-parts":[[2011,1,1]],"date-time":"2011-01-01T00:00:00Z","timestamp":1293840000000},"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":[[2011]]},"DOI":"10.1007\/978-3-642-21090-7_4","type":"book-chapter","created":{"date-parts":[[2011,5,20]],"date-time":"2011-05-20T14:09:02Z","timestamp":1305900542000},"page":"27-36","source":"Crossref","is-referenced-by-count":2,"title":["Prediction of Urban Stormwater Runoff in Chesapeake Bay Using Neural Networks"],"prefix":"10.1007","author":[{"given":"Nian","family":"Zhang","sequence":"first","affiliation":[]}],"member":"297","reference":[{"key":"4_CR1","unstructured":"U.S. Environmental Protection Agency (EPA). Washington, DC. Protecting Water Quality from Urban Runoff. Document No. EPA 841-F-03-003 (2003)"},{"key":"4_CR2","unstructured":"United States. National Research Council. Washington, DC. Urban Stormwater Management in the United States, pp. 18\u201320 (2008)"},{"key":"4_CR3","unstructured":"Fact Sheet 102-98 - The Chesapeake Bay: Geologic Product of Rising Sea Level. U. S. Geological Survey (1998), http:\/\/pubs.usgs.gov\/fs\/fs102-98\/"},{"key":"4_CR4","volume-title":"Neural Networks: A Comprehensive Foundation","author":"S. Haykins","year":"1998","unstructured":"Haykins, S.: Neural Networks: A Comprehensive Foundation, 2nd edn. Prentice Hall, Englewood Cliffs (1998)","edition":"2"},{"issue":"6","key":"4_CR5","first-page":"856","volume":"5","author":"K. Solaimani","year":"2009","unstructured":"Solaimani, K.: Rainfall-runoff Prediction Based on Artificial Neural Network (A Case Study: Jarahi Watershed). American-Eurasian J. Agric. & Environ. Sci.\u00a05(6), 856\u2013865 (2009)","journal-title":"American-Eurasian J. Agric. & Environ. Sci."},{"key":"4_CR6","doi-asserted-by":"crossref","unstructured":"Guo, W., Wang, H., Xu, J., Zhang, Y.: RBF Neural Network Model Based on Improved PSO for Predicting River Runoff. In: 2010 International Conference on Intelligent Computation Technology and Automation (ICICTA), pp. 968\u2013971 (2010)","DOI":"10.1109\/ICICTA.2010.504"},{"key":"4_CR7","doi-asserted-by":"crossref","unstructured":"Wang, W., Qiu, L.: Prediction of Annual Runoff Using Adaptive Network Based Fuzzy Inference System. In: 2010 Seventh International Conference on Fuzzy Systems and Knowledge Discovery (FSKD), vol. 3, pp. 1324\u20131327 (2010)","DOI":"10.1109\/FSKD.2010.5569104"},{"key":"4_CR8","doi-asserted-by":"crossref","unstructured":"Bai, P., Song, X., Wang, J., Shi, W., Wang, Q.: A Hillslope Infiltration and Runoff Prediction Model of Neural Networks Optimized by Genetic Algorithm. In: 2010 International Conference on Mechanic Automation and Control Engineering (MACE), pp. 1256\u20131259 (2010)","DOI":"10.1109\/MACE.2010.5536382"},{"key":"4_CR9","doi-asserted-by":"crossref","unstructured":"Liu, J., Wang, B.: Parameters Selection for SVR Based on the SCEM-UA Algorithm and its Application on Monthly Runoff Prediction. In: 2007 International Conference on Computational Intelligence and Security, pp. 48\u201351 (2007)","DOI":"10.1109\/CIS.2007.29"},{"key":"4_CR10","doi-asserted-by":"crossref","unstructured":"Guo, W., Wang, H., Xu, J., Zhang, Y.: RBF Neural Network Model Based on Improved PSO for Predicting River Runoff. In: 2010 International Conference on Intelligent Computation Technology and Automation (ICICTA), vol. 2, pp. 968\u2013971 (2010)","DOI":"10.1109\/ICICTA.2010.504"},{"key":"4_CR11","doi-asserted-by":"crossref","unstructured":"Bo, H., Dong, X., Deng, X.: Application of GA-ANN Hybrid Algorithms in Runoff Prediction. In: 2010 International Conference on Electrical and Control Engineering (ICECE), pp. 5039\u20135042 (2010)","DOI":"10.1109\/iCECE.2010.1219"},{"key":"4_CR12","doi-asserted-by":"crossref","unstructured":"Liu, Y., Chen, Y., Hu, J., Huang, Q., Wang, Y.: Long-term Prediction for Autumn Flood Season in Danjiangkou Reservoir Basin Based on OSR-BP Neural Network. In: 2010 Sixth International Conference on Natural Computation (ICNC), vol. 4, pp. 1717\u20131720 (2010)","DOI":"10.1109\/ICNC.2010.5584555"},{"key":"4_CR13","doi-asserted-by":"crossref","unstructured":"Behera, P., Li, J., Adams, B.: Runoff Quality Analysis of Urban Catchments with Analytical Probabilistic Models. Journal of Water Resources Planning and Management, ASCE (2006)","DOI":"10.1061\/(ASCE)0733-9496(2006)132:1(4)"},{"key":"4_CR14","doi-asserted-by":"crossref","unstructured":"Marquardt, D.: An Algorithm for Least Squares Estimation of Non-Linear Parameters. Journal of the Society for Industrial and Applied Mathematics, 431\u2013441 (1963)","DOI":"10.1137\/0111030"},{"issue":"6","key":"4_CR15","doi-asserted-by":"crossref","first-page":"1025","DOI":"10.1623\/hysj.49.6.1025.55720","volume":"49","author":"O. Kisi","year":"2004","unstructured":"Kisi, O.: Multi-Layer Perceptrons with Levenberg-Marquardt Training Algorithm for Suspended Sediment Concentration Prediction and Estimation. Hydrological Sciences - Journal \u2013 des Sciences Hydrologiques\u00a049(6), 1025\u20131040 (2004)","journal-title":"Hydrological Sciences - Journal \u2013 des Sciences Hydrologiques"},{"issue":"13-15","key":"4_CR16","doi-asserted-by":"publisher","first-page":"2342","DOI":"10.1016\/j.neucom.2005.12.138","volume":"70","author":"X. Cai","year":"2007","unstructured":"Cai, X., Zhang, N., Venayagamoorthy, G.K., Wunsch II, D.C.: Time Series Prediction with Recurrent Neural Networks Trained by a Hybrid PSO-EA Algorithm. Neurocomputing\u00a070(13-15), 2342\u20132353 (2007)","journal-title":"Neurocomputing"},{"key":"4_CR17","doi-asserted-by":"crossref","unstructured":"Cai, X., Zhang, N., Venayagamoorthy, G.K., Wunsch II, D.C.: Time Series Prediction with Recurrent Neural Networks Using Hybrid PSO-EA Algorithm. In: INNS-IEEE International Joint Conference on Neural Networks (IJCNN), Budapest, Hungary, July 25-28, vol.\u00a02, pp. 1647\u20131652 (2004)","DOI":"10.1109\/IJCNN.2004.1380208"}],"container-title":["Lecture Notes in Computer Science","Advances in Neural Networks \u2013 ISNN 2011"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-642-21090-7_4","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,3,5]],"date-time":"2025-03-05T18:19:12Z","timestamp":1741198752000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-642-21090-7_4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2011]]},"ISBN":["9783642210891","9783642210907"],"references-count":17,"URL":"https:\/\/doi.org\/10.1007\/978-3-642-21090-7_4","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2011]]}}}