{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T20:04:01Z","timestamp":1742933041347,"version":"3.40.3"},"publisher-location":"Berlin, Heidelberg","reference-count":19,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783662479254"},{"type":"electronic","value":"9783662479261"}],"license":[{"start":{"date-parts":[[2015,8,9]],"date-time":"2015-08-09T00:00:00Z","timestamp":1439078400000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2016]]},"DOI":"10.1007\/978-3-662-47926-1_27","type":"book-chapter","created":{"date-parts":[[2015,8,8]],"date-time":"2015-08-08T10:57:37Z","timestamp":1439031457000},"page":"279-284","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Computation of Daily Solar Radiation Using Wavelet and Support Vector Machines: A Case Study"],"prefix":"10.1007","author":[{"given":"Sungwon","family":"Kim","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Youngmin","family":"Seo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Vijay P.","family":"Singh","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2015,8,9]]},"reference":[{"key":"27_CR1","unstructured":"Allen, R.G., Pereira, L.S., Raes, D., Smith, M.: Crop evapotranspiration guidelines for computing crop water requirements. FAO Irrigation and Drainage. Paper No. 56. Food and Agriculture Organization of the United Nations, Rome (1998)"},{"issue":"3","key":"27_CR2","doi-asserted-by":"publisher","first-page":"429","DOI":"10.1061\/(ASCE)0733-9437(1993)119:3(429)","volume":"119","author":"ASCE Task Committee","year":"1993","unstructured":"ASCE Task Committee: Criteria for evaluation of watershed models. J. Irrig. Drain. Eng. 119(3), 429\u2013442 (1993)","journal-title":"J. Irrig. Drain. Eng."},{"issue":"1","key":"27_CR3","doi-asserted-by":"publisher","first-page":"137","DOI":"10.1109\/TPWRS.2010.2049385","volume":"26","author":"JPS Catal\u00e3o","year":"2011","unstructured":"Catal\u00e3o, J.P.S., Pousinho, H.M.I., Mendes, V.M.F.: Hybrid wavelet-PSO-ANFIS approach for short-term electricity prices forecasting. IEEE Trans. Power Syst. 26(1), 137\u2013144 (2011)","journal-title":"IEEE Trans. Power Syst."},{"issue":"1","key":"27_CR4","doi-asserted-by":"publisher","first-page":"80","DOI":"10.1177\/030913330102500104","volume":"25","author":"CW Dawson","year":"2001","unstructured":"Dawson, C.W., Wilby, R.L.: Hydrological modelling using artificial neural networks. Prog. phys. Geog. 25(1), 80\u2013108 (2001)","journal-title":"Prog. phys. Geog."},{"issue":"3","key":"27_CR5","doi-asserted-by":"publisher","first-page":"595","DOI":"10.1080\/01431160512331314056","volume":"26","author":"M Gonz\u00e1lez-Aud\u00edcana","year":"2005","unstructured":"Gonz\u00e1lez-Aud\u00edcana, M., Otazu, X., Fors, O., Seco, A.: Comparison between Mallat\u2019s and the \u2018\u00e0 trous\u2019 discrete wavelet transform based algorithms for the fusion of multispectral and panchromatic images. Int. J. Remote Sens. 26(3), 595\u2013614 (2005)","journal-title":"Int. J. Remote Sens."},{"key":"27_CR6","volume-title":"Neural networks and learning machines","author":"S Haykin","year":"2009","unstructured":"Haykin, S.: Neural networks and learning machines, 3rd edn. Prentice Hall, NJ (2009)","edition":"3"},{"issue":"23","key":"27_CR7","doi-asserted-by":"publisher","first-page":"3413","DOI":"10.1002\/hyp.7771","volume":"24","author":"Z Izadifar","year":"2010","unstructured":"Izadifar, Z., Elshorbagy, A.: Prediction of hourly actual evapotranspiration using neural networks, genetic programming, and statistical models. Hydrol. Process. 24(23), 3413\u20133425 (2010)","journal-title":"Hydrol. Process."},{"issue":"11","key":"27_CR8","doi-asserted-by":"publisher","first-page":"3231","DOI":"10.1007\/s11269-012-0069-2","volume":"26","author":"S Kim","year":"2012","unstructured":"Kim, S., Shiri, J., Kisi, O.: Pan evaporation modeling using neural computing approach for different climatic zones. Water Resour. Manag. 26(11), 3231\u20133249 (2012)","journal-title":"Water Resour. Manag."},{"issue":"5","key":"27_CR9","doi-asserted-by":"publisher","first-page":"04014063","DOI":"10.1061\/(ASCE)CP.1943-5487.0000367","volume":"29","author":"Sungwon Kim","year":"2015","unstructured":"Kim, S., Seo, Y., Singh, V.P.: Assessment of pan evaporation modeling using bootstrap resampling and soft computing methods. J. Comput. Civ. Eng. (2013a). doi:10.1061\/(ASCE)CP.1943-5487.0000367","journal-title":"Journal of Computing in Civil Engineering"},{"issue":"7","key":"27_CR10","doi-asserted-by":"crossref","first-page":"2267","DOI":"10.1007\/s11269-013-0287-2","volume":"27","author":"Sungwon Kim","year":"2013","unstructured":"Kim, S., Shiri, J., Kisi, O., Singh, V.P.: Estimating daily pan evaporation using different data-driven methods and lag-time patterns. Water Resour. Manag. 27(7), 2267\u20132286 (2013b)","journal-title":"Water Resources Management"},{"issue":"1","key":"27_CR11","doi-asserted-by":"publisher","first-page":"233","DOI":"10.1029\/1998WR900018","volume":"35","author":"DR Legates","year":"1999","unstructured":"Legates, D.R., McCabe, G.J.: Evaluating the use of \u201cgoodness-of-fit\u201d measures in hydrologic and hydroclimatic model validation. Water Resour. Res. 35(1), 233\u2013241 (1999)","journal-title":"Water Resour. Res."},{"issue":"7","key":"27_CR12","doi-asserted-by":"publisher","first-page":"674","DOI":"10.1109\/34.192463","volume":"11","author":"SG Mallat","year":"1989","unstructured":"Mallat, S.G.: A theory for multiresolution signal decomposition: The wavelet representation. IEEE Trans. Pattern. Anal. Mach. Intell. 11(7), 674\u2013693 (1989)","journal-title":"IEEE Trans. Pattern. Anal. Mach. Intell."},{"key":"27_CR13","volume-title":"Wavelet methods in statistics with R","author":"G Nason","year":"2010","unstructured":"Nason, G.: Wavelet methods in statistics with R. Springer, NY (2010)"},{"issue":"3","key":"27_CR14","doi-asserted-by":"publisher","first-page":"282","DOI":"10.1016\/0022-1694(70)90255-6","volume":"10","author":"JE Nash","year":"1970","unstructured":"Nash, J.E., Sutcliffe, J.V.: River flow forecasting through conceptual models, Part 1 \u2013 A discussion of principles. J. Hydrol. 10(3), 282\u2013290 (1970)","journal-title":"J. Hydrol."},{"issue":"4","key":"27_CR15","first-page":"764","volume":"1","author":"FH Nejad","year":"2012","unstructured":"Nejad, F.H., Nourani, V.: Elevation of wavelet denoising performance via an ANN-based streamflow forecasting model. Int. J. Comput. Sci. Manag. Res. 1(4), 764\u2013770 (2012)","journal-title":"Int. J. Comput. Sci. Manag. Res."},{"key":"27_CR16","volume-title":"Neural and adaptive systems: fundamentals through simulation","author":"JC Principe","year":"2000","unstructured":"Principe, J.C., Euliano, N.R., Lefebvre, W.C.: Neural and adaptive systems: fundamentals through simulation. Wiley, John & Sons Inc., NY (2000)"},{"issue":"3\u20134","key":"27_CR17","doi-asserted-by":"publisher","first-page":"621","DOI":"10.1016\/j.jhydrol.2006.04.030","volume":"330","author":"S Tripathi","year":"2006","unstructured":"Tripathi, S., Srinivas, V.V., Nanjundish, R.S.: Downscaling of precipitation for climate change scenarios: a support vector machine approach. J. Hydrol. 330(3\u20134), 621\u2013640 (2006)","journal-title":"J. Hydrol."},{"key":"27_CR18","volume-title":"The nature of statistical learning theory","author":"VN Vapnik","year":"2010","unstructured":"Vapnik, V.N.: The nature of statistical learning theory, 2nd edn. Springer, NY (2010)","edition":"2"},{"key":"27_CR19","unstructured":"van Bavel, C.H.M.: Estimating soil moisture conditions and time for irrigation with the evapotranspiration method. USDA, ARS 41\u201311, U.S. Dept. of Agric., Raleigh, NC, 1\u201316 (1956)"}],"container-title":["Advances in Intelligent Systems and Computing","Harmony Search Algorithm"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-662-47926-1_27","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,2,8]],"date-time":"2023-02-08T13:51:04Z","timestamp":1675864264000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-662-47926-1_27"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,8,9]]},"ISBN":["9783662479254","9783662479261"],"references-count":19,"URL":"https:\/\/doi.org\/10.1007\/978-3-662-47926-1_27","relation":{},"ISSN":["2194-5357","2194-5365"],"issn-type":[{"type":"print","value":"2194-5357"},{"type":"electronic","value":"2194-5365"}],"subject":[],"published":{"date-parts":[[2015,8,9]]},"assertion":[{"value":"9 August 2015","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}}]}}