{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,10]],"date-time":"2025-09-10T21:46:18Z","timestamp":1757540778577},"reference-count":56,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2016,11,25]],"date-time":"2016-11-25T00:00:00Z","timestamp":1480032000000},"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":["Neural Comput &amp; Applic"],"published-print":{"date-parts":[[2018,8]]},"DOI":"10.1007\/s00521-016-2713-x","type":"journal-article","created":{"date-parts":[[2016,11,25]],"date-time":"2016-11-25T12:45:11Z","timestamp":1480077911000},"page":"855-864","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["Comparison of genetic programming and radial basis function neural network for open-channel junction velocity field prediction"],"prefix":"10.1007","volume":"30","author":[{"given":"Minoo","family":"Sharifipour","sequence":"first","affiliation":[]},{"given":"Hossein","family":"Bonakdari","sequence":"additional","affiliation":[]},{"given":"Amir Hossein","family":"Zaji","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2016,11,25]]},"reference":[{"issue":"8","key":"2713_CR1","doi-asserted-by":"crossref","first-page":"1371","DOI":"10.1002\/(SICI)1099-1085(19980630)12:8<1371::AID-HYP620>3.0.CO;2-C","volume":"12","author":"KF Bradbrook","year":"1998","unstructured":"Bradbrook KF, Biron PM, Lane SN, Richards KS, Roy AG (1998) Investigation of controls on secondary circulation in a simple confluence geometry using a three-dimensional numerical model. Hydrol Process 12(8):1371\u20131396","journal-title":"Hydrol Process"},{"issue":"3","key":"2713_CR2","doi-asserted-by":"crossref","first-page":"102","DOI":"10.1061\/(ASCE)PS.1949-1204.0000076","volume":"2","author":"A Ab. Ghani","year":"2010","unstructured":"Ab. Ghani A, Md. Azamathulla H (2010) Gene-expression programming for sediment transport in sewer pipe systems. J Pipeline Syst Eng Pract 2(3):102\u2013106","journal-title":"J Pipeline Syst Eng Pract"},{"key":"2713_CR3","doi-asserted-by":"crossref","first-page":"48","DOI":"10.1016\/j.jhydrol.2012.05.031","volume":"450","author":"O Kisi","year":"2012","unstructured":"Kisi O, Dailr AH, Cimen M, Shiri J (2012) Suspended sediment modeling using genetic programming and soft computing techniques. J Hydrol 450:48\u201358","journal-title":"J Hydrol"},{"key":"2713_CR4","first-page":"893","volume":"109","author":"EH Taylor","year":"1944","unstructured":"Taylor EH (1944) Flow characteristics at rectangular open-channel junction. J Hydraul Eng 109:893\u2013902","journal-title":"J Hydraul Eng"},{"key":"2713_CR5","unstructured":"Carballada B (1979) Combining flow in open-channels and blockage phenomenon. Internal report RSH 43-79-49, Hydraulic Division, Hydro-Quebec, Montreal"},{"issue":"11","key":"2713_CR6","doi-asserted-by":"crossref","first-page":"1588","DOI":"10.1061\/(ASCE)0733-9429(1984)110:11(1588)","volume":"110","author":"J Best","year":"1984","unstructured":"Best J, Reid I (1984) Separation zone at open-channel junctions. J Hydraul Eng 110(11):1588\u20131594","journal-title":"J Hydraul Eng"},{"issue":"4","key":"2713_CR7","doi-asserted-by":"crossref","first-page":"273","DOI":"10.1016\/0169-555X(94)00069-4","volume":"11","author":"BL Rhoads","year":"1995","unstructured":"Rhoads BL, Kenworthy ST (1995) Flow structure at an asymmetrical stream confluence. Geomorphology 11(4):273\u2013293","journal-title":"Geomorphology"},{"issue":"2","key":"2713_CR8","doi-asserted-by":"crossref","first-page":"186","DOI":"10.1061\/(ASCE)0733-9429(1998)124:2(186)","volume":"124","author":"C Hsu","year":"1998","unstructured":"Hsu C, Wu F, Lee W (1998) Flow at 90\u00b0 equal-width open-channel junction. J Hydraul Eng 124(2):186\u2013191","journal-title":"J Hydraul Eng"},{"issue":"5","key":"2713_CR9","doi-asserted-by":"crossref","first-page":"340","DOI":"10.1061\/(ASCE)0733-9429(2001)127:5(340)","volume":"127","author":"LJ Weber","year":"2001","unstructured":"Weber LJ, Schumate ED, Mawer N (2001) Experiments on flow at a 90\u00b0 open-channel junction. J Hydraul Eng 127(5):340\u2013350","journal-title":"J Hydraul Eng"},{"issue":"3","key":"2713_CR10","doi-asserted-by":"crossref","first-page":"268","DOI":"10.1061\/(ASCE)0733-9429(2002)128:3(268)","volume":"128","author":"J Huang","year":"2002","unstructured":"Huang J, Weber LJ, Lai YG (2002) Three-dimensional numerical study of flows in open-channel junctions. J Hydraul Eng 128(3):268\u2013280","journal-title":"J Hydraul Eng"},{"issue":"5","key":"2713_CR11","doi-asserted-by":"crossref","first-page":"772","DOI":"10.1139\/L10-016","volume":"37","author":"A Shakibainia","year":"2010","unstructured":"Shakibainia A, Tabatabai MRM, Zarrati AR (2010) Three-dimensional numerical study of flow structure in channel confluences. Can J Civil Eng 37(5):772\u2013781","journal-title":"Can J Civil Eng"},{"key":"2713_CR12","doi-asserted-by":"publisher","DOI":"10.1155\/2013\/860431","author":"Q Yang","year":"2013","unstructured":"Yang Q, Liu T, Lu W, Wang X (2013) Numerical simulation of confluence flow in open-channel with dynamic meshes techniques. Adv Mech Eng. doi:\n                        10.1155\/2013\/860431","journal-title":"Adv Mech Eng"},{"issue":"3","key":"2713_CR13","doi-asserted-by":"crossref","first-page":"279","DOI":"10.1080\/10286600802151804","volume":"26","author":"M Mamak","year":"2009","unstructured":"Mamak M, Seckin G, Cobaner M, Kisi O (2009) Bridge afflux analysis through arched bridge constrictions using artificial intelligence methods. Civ Eng Environ Syst 26(3):279\u2013293","journal-title":"Civ Eng Environ Syst"},{"issue":"10","key":"2713_CR14","doi-asserted-by":"crossref","first-page":"1039","DOI":"10.1016\/j.advengsoft.2009.03.002","volume":"40","author":"G Seckin","year":"2009","unstructured":"Seckin G, Akoz MS, Cobaner M, Haktanir T (2009) Application of ANN techniques for estimating backwater through bridge constrictions in Mississippi River basin. Adv Eng Softw 40(10):1039\u20131046","journal-title":"Adv Eng Softw"},{"issue":"4","key":"2713_CR15","doi-asserted-by":"crossref","first-page":"627","DOI":"10.1016\/j.advengsoft.2009.12.003","volume":"41","author":"E Pinar","year":"2010","unstructured":"Pinar E, Paydas K, Seckin G, Akilli H, Sahin B, Cobaner M, Kocaman S, Atakan Akar M (2010) Artificial neural network approaches for prediction of backwater through arched bridge constrictions. Adv Eng Softw 41(4):627\u2013635","journal-title":"Adv Eng Softw"},{"key":"2713_CR16","doi-asserted-by":"crossref","first-page":"107","DOI":"10.1016\/j.envsoft.2014.01.021","volume":"55","author":"V Wolfs","year":"2014","unstructured":"Wolfs V, Willems P (2014) Development of discharge-stage curves affected by hysteresis using time varying models, model trees and neural networks. Environ Modell Softw 55:107\u2013119","journal-title":"Environ Modell Softw"},{"issue":"3\u20134","key":"2713_CR17","doi-asserted-by":"crossref","first-page":"873","DOI":"10.1007\/s00521-012-1011-5","volume":"23","author":"A Guven","year":"2013","unstructured":"Guven A, Aytek A, Azamathulla HM (2013) A practical approach to formulate stage-discharge relationship in natural rivers. Neural Comput Appl 23(3\u20134):873\u2013880","journal-title":"Neural Comput Appl"},{"issue":"1","key":"2713_CR18","doi-asserted-by":"crossref","first-page":"94","DOI":"10.1016\/j.matcom.2007.10.005","volume":"79","author":"O Kisi","year":"2008","unstructured":"Kisi O (2008) Constructing neural network sediment estimation models using a data-driven algorithm. Math Comput Simul 79(1):94\u2013103","journal-title":"Math Comput Simul"},{"issue":"3","key":"2713_CR19","doi-asserted-by":"crossref","first-page":"394","DOI":"10.1061\/(ASCE)HE.1943-5584.0000445","volume":"17","author":"A Senthil Kumar","year":"2011","unstructured":"Senthil Kumar A, Ojha C, Goyal MK, Singh R, Swamee P (2011) Modeling of suspended sediment concentration at Kasol in India using ANN, fuzzy Logic, and decision tree algorithms. J Hydrol Eng 17(3):394\u2013404","journal-title":"J Hydrol Eng"},{"issue":"1","key":"2713_CR20","doi-asserted-by":"crossref","first-page":"115","DOI":"10.1061\/(ASCE)HE.1943-5584.0000601","volume":"18","author":"A Singh","year":"2012","unstructured":"Singh A, Imtiyaz M, Isaac R, Denis D (2012) Comparison of artificial neural network models for sediment yield prediction at single gauging station of watershed in eastern India. J Hydrol Eng 18(1):115\u2013120","journal-title":"J Hydrol Eng"},{"issue":"7","key":"2713_CR21","doi-asserted-by":"crossref","first-page":"1991","DOI":"10.1007\/s11269-014-0590-6","volume":"28","author":"MK Goyal","year":"2014","unstructured":"Goyal MK (2014) Modeling of sediment yield prediction using M5 model tree algorithm and wavelet regression. Water Resour Manag 28(7):1991\u20132003","journal-title":"Water Resour Manag"},{"issue":"2","key":"2713_CR22","doi-asserted-by":"crossref","first-page":"351","DOI":"10.1080\/02626667.2013.872787","volume":"59","author":"A Singh","year":"2014","unstructured":"Singh A, Imtiyaz M, Isaac R, Denis D (2014) Assessing the performance and uncertainty analysis of the SWAT and RBNN models for simulation of sediment yield in the Nagwa watershed, India. Hydrol Sci J 59(2):351\u2013364","journal-title":"Hydrol Sci J"},{"issue":"13","key":"2713_CR23","first-page":"4254","volume":"7","author":"M Fuladipanah","year":"2014","unstructured":"Fuladipanah M, Sangi E (2014) Neural network for estimation of scour hole dimensions downstream of siphon spillway. Adv Environ Biol 7(13):4254\u20134264","journal-title":"Adv Environ Biol"},{"issue":"10","key":"2713_CR24","doi-asserted-by":"crossref","first-page":"898","DOI":"10.1061\/(ASCE)0733-9429(2005)131:10(898)","volume":"131","author":"HM Azmathullah","year":"2005","unstructured":"Azmathullah HM, Deo MC, Deolalikar PB (2005) Neural networks for estimation of scour downstream of a ski-jump bucket. J Hydraul Eng 131(10):898\u2013908","journal-title":"J Hydraul Eng"},{"issue":"8","key":"2713_CR25","doi-asserted-by":"crossref","first-page":"1180","DOI":"10.1002\/hyp.6686","volume":"22","author":"B Krishna","year":"2008","unstructured":"Krishna B, Satyaji Rao Y, Vijaya T (2008) Modelling groundwater levels in an urban coastal aquifer using artificial neural networks. Hydrol Process 22(8):1180\u20131188","journal-title":"Hydrol Process"},{"issue":"7","key":"2713_CR26","doi-asserted-by":"crossref","first-page":"1871","DOI":"10.1007\/s13369-012-0291-5","volume":"37","author":"GR Rakhshandehroo","year":"2012","unstructured":"Rakhshandehroo GR, Vaghefi M, Aghbolaghi MA (2012) Forecasting groundwater level in Shiraz Plain using artificial neural networks. Arab J Sci Eng 37(7):1871\u20131883","journal-title":"Arab J Sci Eng"},{"issue":"5","key":"2713_CR27","doi-asserted-by":"crossref","first-page":"417","DOI":"10.1007\/s00271-009-0158-z","volume":"27","author":"O Kisi","year":"2009","unstructured":"Kisi O (2009) Modeling monthly evaporation using two different neural computing techniques. Irrig Sci 27(5):417\u2013430","journal-title":"Irrig Sci"},{"issue":"6","key":"2713_CR28","doi-asserted-by":"crossref","first-page":"831","DOI":"10.1016\/j.advengsoft.2010.03.001","volume":"41","author":"O Bilhan","year":"2010","unstructured":"Bilhan O, Emin Emiroglu M, Kisi O (2010) Application of two different neural network techniques to lateral outflow over rectangular side weirs located on a straight channel. Adv Eng Softw 41(6):831\u2013837","journal-title":"Adv Eng Softw"},{"issue":"1\u20132","key":"2713_CR29","doi-asserted-by":"crossref","first-page":"52","DOI":"10.1016\/j.jhydrol.2008.12.024","volume":"367","author":"M Cobaner","year":"2009","unstructured":"Cobaner M, Unal B, Kisi O (2009) Suspended sediment concentration estimation by an adaptive neuro-fuzzy and neural network approaches using hydro-meteorological data. J Hydrol 367(1\u20132):52\u201361","journal-title":"J Hydrol"},{"issue":"2","key":"2713_CR30","doi-asserted-by":"crossref","first-page":"241","DOI":"10.1061\/(ASCE)0733-9437(2008)134:2(241)","volume":"134","author":"A Guven","year":"2008","unstructured":"Guven A, Gunal M (2008) Genetic programming approach for prediction of local scour downstream of hydraulic structures. J Irrig Drain 134(2):241\u2013249","journal-title":"J Irrig Drain"},{"key":"2713_CR31","doi-asserted-by":"crossref","first-page":"156","DOI":"10.1016\/j.jhydrol.2012.06.034","volume":"460","author":"HM Azamathulla","year":"2012","unstructured":"Azamathulla HM (2012) Gene expression programming for prediction of scour depth downstream of sills. J Hydrol 460:156\u2013159","journal-title":"J Hydrol"},{"issue":"1","key":"2713_CR32","doi-asserted-by":"crossref","first-page":"121","DOI":"10.1080\/15715124.2013.772522","volume":"11","author":"R Mohammadpour","year":"2013","unstructured":"Mohammadpour R, Ghani AA, Azamathulla HM (2013) Estimation of dimension and time variation of local scour at short abutment. Int J River Basin Manag 11(1):121\u2013135","journal-title":"Int J River Basin Manag"},{"issue":"11","key":"2713_CR33","doi-asserted-by":"crossref","first-page":"1982","DOI":"10.2166\/wst.2012.100","volume":"65","author":"A Guven","year":"2012","unstructured":"Guven A, Azamathulla HM (2012) Gene-expression programming for flip-bucket spillway scour. Water Sci Technol 65(11):1982\u20131987","journal-title":"Water Sci Technol"},{"issue":"8","key":"2713_CR34","doi-asserted-by":"crossref","first-page":"689","DOI":"10.1016\/j.advengsoft.2007.07.004","volume":"39","author":"HM Azamathulla","year":"2008","unstructured":"Azamathulla HM, Deo MC, Deolalikar PB (2008) Alternative neural networks to estimate the scour below spillways. Adv Eng Softw 39(8):689\u2013698","journal-title":"Adv Eng Softw"},{"issue":"1","key":"2713_CR35","doi-asserted-by":"crossref","first-page":"61","DOI":"10.1080\/00221686.2006.9521661","volume":"44","author":"HM Azmathullah","year":"2006","unstructured":"Azmathullah HM, Deo MC, Deolalikar PB (2006) Estimation of scour below spillways using neural networks. J Hydraul Res 44(1):61\u201369","journal-title":"J Hydraul Res"},{"issue":"3","key":"2713_CR36","doi-asserted-by":"crossref","first-page":"3454","DOI":"10.1016\/j.eswa.2011.09.035","volume":"39","author":"O Kisi","year":"2012","unstructured":"Kisi O, Emin Emiroglu M, Bilhan O, Guven A (2012) Prediction of lateral outflow over triangular labyrinth side weirs under subcritical conditions using soft computing approaches. Expert Syst Appl 39(3):3454\u20133460","journal-title":"Expert Syst Appl"},{"issue":"8","key":"2713_CR37","doi-asserted-by":"crossref","first-page":"2163","DOI":"10.1007\/s13369-011-0037-9","volume":"37","author":"M Unsal","year":"2012","unstructured":"Unsal M (2012) GEP modeling of penetration depth in sharp crested Weirs. Arab J Sci Eng 37(8):2163\u20132174","journal-title":"Arab J Sci Eng"},{"issue":"3","key":"2713_CR38","doi-asserted-by":"crossref","first-page":"161","DOI":"10.3846\/16486897.2013.865632","volume":"22","author":"F Onen","year":"2014","unstructured":"Onen F (2014) GEP prediction of scour around a side weir in curved channel. J Environ Eng Landsc 22(3):161\u2013170","journal-title":"J Environ Eng Landsc"},{"issue":"5","key":"2713_CR39","doi-asserted-by":"crossref","first-page":"1421","DOI":"10.1007\/s00521-012-1091-2","volume":"23","author":"H Md. Azamathulla","year":"2013","unstructured":"Md. Azamathulla H (2013) Gene-expression programming to predict friction factor for Southern Italian rivers. Neural Comput Appl 23(5):1421\u20131426","journal-title":"Neural Comput Appl"},{"issue":"3","key":"2713_CR40","doi-asserted-by":"crossref","first-page":"715","DOI":"10.1007\/s11269-012-0211-1","volume":"27","author":"HM Azamathulla","year":"2013","unstructured":"Azamathulla HM, Jarrett RD (2013) Use of gene-expression programming to estimate manning\u2019s roughness coefficient for high gradient streams. Water Resour Manag 27(3):715\u2013729","journal-title":"Water Resour Manag"},{"key":"2713_CR41","doi-asserted-by":"crossref","first-page":"508","DOI":"10.3923\/jas.2005.508.512","volume":"5","author":"O Terzi","year":"2005","unstructured":"Terzi O, Erol Keskin M (2005) Evaporation estimation using gene expression programming. J Appl Sci 5:508\u2013512","journal-title":"J Appl Sci"},{"issue":"7","key":"2713_CR42","doi-asserted-by":"crossref","first-page":"412","DOI":"10.1061\/(ASCE)IR.1943-4774.0000315","volume":"137","author":"J Shiri","year":"2011","unstructured":"Shiri J, Kisi O (2011) Application of artificial intelligence to estimate daily pan evaporation using available and estimated climatic data in the Khozestan Province (South Western Iran). J Irrig Drain 137(7):412\u2013425","journal-title":"J Irrig Drain"},{"issue":"11","key":"2713_CR43","doi-asserted-by":"crossref","first-page":"2901","DOI":"10.1007\/s11269-011-9845-7","volume":"25","author":"H Azamathulla","year":"2011","unstructured":"Azamathulla H, Ghani A, Leow C, Chang C, Zakaria N (2011) Gene-expression programming for the development of a stage-discharge curve of the Pahang river. Water Resour Manag 25(11):2901\u20132916","journal-title":"Water Resour Manag"},{"key":"2713_CR44","doi-asserted-by":"publisher","DOI":"10.1080\/19942060.2015.1004821","author":"AH Zaji","year":"2015","unstructured":"Zaji AH, Bonakdari H (2015) Efficient methods for prediction of velocity fields in open-channel junctions based on the artificial neural network. Eng Appl Comput Fluid. doi:\n                        10.1080\/19942060.2015.1004821","journal-title":"Eng Appl Comput Fluid"},{"key":"2713_CR45","volume-title":"Genetic programming: on the programming of computers by means of natural selection","author":"JR Koza","year":"1992","unstructured":"Koza JR (1992) Genetic programming: on the programming of computers by means of natural selection. MIT press, Cambridge"},{"key":"2713_CR46","doi-asserted-by":"crossref","first-page":"635","DOI":"10.1007\/978-1-4471-0123-9_54","volume-title":"Soft computing and industry","author":"C Ferreira","year":"2002","unstructured":"Ferreira C (2002) Gene expression programming in problem solving. In: Roy R, K\u00f6ppen M, Ovaska S, Furuhashi T, Hoffmann F (eds) Soft computing and industry. Springer, London, pp 635\u2013653"},{"key":"2713_CR47","first-page":"87","volume":"13","author":"C Ferreira","year":"2001","unstructured":"Ferreira C (2001) Gene expression programming: a new adaptive algorithm for solving problems. Complex Syst 13:87\u2013129","journal-title":"Complex Syst"},{"key":"2713_CR48","unstructured":"Broomhead DS, Lowe D (1988) Radial basis functions, multi-variable functional interpolation and adaptive networks. DTIC Document"},{"issue":"2","key":"2713_CR49","doi-asserted-by":"crossref","first-page":"281","DOI":"10.1162\/neco.1989.1.2.281","volume":"1","author":"J Moody","year":"1989","unstructured":"Moody J, Darken CJ (1989) Fast learning in networks of locally-tuned processing units. Neural Comput 1(2):281\u2013294","journal-title":"Neural Comput"},{"issue":"4945","key":"2713_CR50","doi-asserted-by":"crossref","first-page":"978","DOI":"10.1126\/science.247.4945.978","volume":"247","author":"T Poggio","year":"1990","unstructured":"Poggio T, Girosi F (1990) Regularization algorithms for learning that are equivalent to multilayer networks. Science 247(4945):978\u2013982","journal-title":"Science"},{"issue":"6","key":"2713_CR51","doi-asserted-by":"crossref","first-page":"1270","DOI":"10.1623\/hysj.53.6.1270","volume":"53","author":"O Kisi","year":"2008","unstructured":"Kisi O, Yuksel I, Dogan E (2008) Modelling daily suspended sediment of rivers in Turkey using several data-driven techniques\/Mod\u00e9lisation de la charge journali\u00e8re en mati\u00e8res en suspension dans des rivi\u00e8res turques \u00e0 l\u2019aide de plusieurs techniques empiriques. Hydrol Sci J 53(6):1270\u20131285","journal-title":"Hydrol Sci J"},{"issue":"6","key":"2713_CR52","doi-asserted-by":"crossref","first-page":"654","DOI":"10.1061\/(ASCE)EE.1943-7870.0000511","volume":"138","author":"M Ay","year":"2011","unstructured":"Ay M, Kisi O (2011) Modeling of dissolved oxygen concentration using different neural network techniques in Foundation Creek, El Paso County, Colorado. J Environ Eng 138(6):654\u2013662","journal-title":"J Environ Eng"},{"issue":"2","key":"2713_CR53","doi-asserted-by":"crossref","first-page":"202","DOI":"10.1016\/j.biosystemseng.2008.09.032","volume":"102","author":"I Pulido-Calvo","year":"2009","unstructured":"Pulido-Calvo I, Gutierrez-Estrada JC (2009) Improved irrigation water demand forecasting using a soft-computing hybrid model. Biosyst Eng 102(2):202\u2013218","journal-title":"Biosyst Eng"},{"issue":"1","key":"2713_CR54","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.jhydrol.2006.06.015","volume":"332","author":"I Pulido-Calvo","year":"2007","unstructured":"Pulido-Calvo I, Portela MM (2007) Application of neural approaches to one-step daily flow forecasting in Portuguese watersheds. J Hydrol 332(1):1\u201315","journal-title":"J Hydrol"},{"issue":"3","key":"2713_CR55","doi-asserted-by":"crossref","first-page":"288","DOI":"10.1016\/j.jhydrol.2007.12.005","volume":"351","author":"A Aytek","year":"2008","unstructured":"Aytek A, Kisi O (2008) A genetic programming approach to suspended sediment modelling. J Hydrol 351(3):288\u2013298","journal-title":"J Hydrol"},{"issue":"10","key":"2713_CR56","doi-asserted-by":"crossref","first-page":"1692","DOI":"10.1016\/j.cageo.2010.11.010","volume":"37","author":"J Shiri","year":"2011","unstructured":"Shiri J, Kisi O (2011) Comparison of genetic programming with neuro-fuzzy systems for predicting short-term water table depth fluctuations. Comput Geosci 37(10):1692\u20131701","journal-title":"Comput Geosci"}],"container-title":["Neural Computing and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s00521-016-2713-x\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-016-2713-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-016-2713-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2018,7,12]],"date-time":"2018-07-12T07:38:32Z","timestamp":1531381112000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s00521-016-2713-x"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,11,25]]},"references-count":56,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2018,8]]}},"alternative-id":["2713"],"URL":"https:\/\/doi.org\/10.1007\/s00521-016-2713-x","relation":{},"ISSN":["0941-0643","1433-3058"],"issn-type":[{"value":"0941-0643","type":"print"},{"value":"1433-3058","type":"electronic"}],"subject":[],"published":{"date-parts":[[2016,11,25]]}}}