{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,24]],"date-time":"2026-01-24T07:51:46Z","timestamp":1769241106449,"version":"3.49.0"},"reference-count":40,"publisher":"Springer Science and Business Media LLC","issue":"6","license":[{"start":{"date-parts":[[2013,2,13]],"date-time":"2013-02-13T00:00:00Z","timestamp":1360713600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Neural Comput & Applic"],"published-print":{"date-parts":[[2014,5]]},"DOI":"10.1007\/s00521-013-1342-x","type":"journal-article","created":{"date-parts":[[2013,2,12]],"date-time":"2013-02-12T05:48:32Z","timestamp":1360648112000},"page":"1285-1291","source":"Crossref","is-referenced-by-count":25,"title":["An innovative approach for modeling of hysteretic energy demand in steel moment resisting frames"],"prefix":"10.1007","volume":"24","author":[{"given":"Amir Hossein","family":"Gandomi","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Amir Hossein","family":"Alavi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Abazar","family":"Asghari","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hadi","family":"Niroomand","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ali Matin","family":"Nazar","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2013,2,13]]},"reference":[{"key":"1342_CR1","unstructured":"Housner GW (1956) Limit design of structures to resist earthquakes. In: Proceedings of the first world conference on earthquake engineering. Berkeley, California, pp 5-1\u20135-13"},{"key":"1342_CR2","doi-asserted-by":"crossref","unstructured":"Gandomi AH, Alavi AH (2013) Expression programming techniques for formulation of structural engineering systems. In: Gandomi AH et al (eds) Metaheuristic applications in structures and infrastructures, Chap 18. Elsevier, Waltham, MA. doi: 10.1016\/B978-0-12-398364-0.00018-8","DOI":"10.1016\/B978-0-12-398364-0.00018-8"},{"key":"1342_CR3","volume-title":"Use of energy concepts in earthquake-resistant analysis and design: issues and future directions. Advances in earthquake engineering practice, short course in structural engineering, architectural and economic issues","author":"VV Bertero","year":"1994","unstructured":"Bertero VV, Teran-Gilmore A (1994) Use of energy concepts in earthquake-resistant analysis and design: issues and future directions. Advances in earthquake engineering practice, short course in structural engineering, architectural and economic issues. University of California, Berkeley"},{"key":"1342_CR4","unstructured":"Vision 2000 Committee (2000) Structural Engineering Association of California (SEAOC)"},{"issue":"12","key":"1342_CR5","doi-asserted-by":"crossref","first-page":"1791","DOI":"10.1002\/eqe.93","volume":"30","author":"R Riddell","year":"2001","unstructured":"Riddell R, Garcia JE (2001) Hysteretic energy spectrum and damage control. Earthq Eng Struct Dyn 30(12):1791\u20131816","journal-title":"Earthq Eng Struct Dyn"},{"key":"1342_CR6","doi-asserted-by":"crossref","unstructured":"Aminian P, Gandomi AH, Alavi AH, Arab Esmaeili M (2013) New design equations for assessment of load carrying capacity of CSB: a machine learning approach. Neural Comput Appl. doi: 10.1007\/s00521-012-1138-4","DOI":"10.1007\/s00521-012-1138-4"},{"issue":"2","key":"1342_CR7","doi-asserted-by":"crossref","first-page":"177","DOI":"10.12989\/sem.2006.23.2.177","volume":"23","author":"B Akbas","year":"2006","unstructured":"Akbas B (2006) A neural network model to assess the hysteretic energy demand in steel moment resisting frames. Struct Eng Mech 23(2):177\u2013194","journal-title":"Struct Eng Mech"},{"key":"1342_CR8","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, MA"},{"issue":"2","key":"1342_CR9","doi-asserted-by":"crossref","first-page":"2902","DOI":"10.1016\/j.asoc.2010.11.026","volume":"11","author":"HMd Azamathulla","year":"2011","unstructured":"Azamathulla HMd, Wu FC (2011) Support vector machine approach to for longitudinal dispersion coefficients in streams. Appl Soft Comput 11(2):2902\u20132905","journal-title":"Appl Soft Comput"},{"issue":"6","key":"1342_CR10","doi-asserted-by":"crossref","first-page":"1537","DOI":"10.1007\/s11269-010-9759-9","volume":"25","author":"HMd Azmathulla","year":"2011","unstructured":"Azmathulla HMd, Ghani A (2011) Genetic programming for longitudinal dispersion coefficients in streams. Water Resour Manag 25(6):1537\u20131544","journal-title":"Water Resour Manag"},{"issue":"3","key":"1342_CR11","doi-asserted-by":"crossref","first-page":"165","DOI":"10.1061\/(ASCE)HY.1943-7900.0000133","volume":"136","author":"HMd Azamathulla","year":"2010","unstructured":"Azamathulla HMd, Ab Ghani A, Zakaria NA, Guven A (2010) Genetic programming to predict bridge pier scour. ASCE J Hydraul Eng 136(3):165\u2013169","journal-title":"ASCE J Hydraul Eng"},{"key":"1342_CR12","unstructured":"Azmathulla HMd (2012) Gene-expression programming to predict friction factor of Southern Italian Rivers. Neural Comput Appl (in press)"},{"key":"1342_CR13","unstructured":"Ahmad Z, Azmathulla HMd (2012) Estimation of critical velocity for slurry transport through pipeline using ANFIS and GEP. ASCE J Pipeline Syst Eng Pract (in press)"},{"issue":"11","key":"1342_CR14","doi-asserted-by":"crossref","first-page":"1982","DOI":"10.2166\/wst.2012.100","volume":"65","author":"A Guven","year":"2012","unstructured":"Guven A, Azmathulla HMd (2012) Gene-expression programming for flip bucket spillway scour. Water Sci Technol 65(11):1982\u20131987","journal-title":"Water Sci Technol"},{"key":"1342_CR15","unstructured":"Yang XS, Gandomi AH, Talatahari S, Alavi AH (2012) Metaheuristics in water resources, geotechnical and transportation engineering. Elsevier, Waltham, MA (ISBN: 9780123982964)"},{"issue":"2","key":"1342_CR16","doi-asserted-by":"crossref","first-page":"111","DOI":"10.1007\/s00366-009-0140-7","volume":"26","author":"AH Alavi","year":"2010","unstructured":"Alavi AH, Gandomi AH, Sahab MG, Gandomi M (2010) Multi expression programming: a new approach to formulation of soil classification. Eng Comput 26(2):111\u2013118","journal-title":"Eng Comput"},{"issue":"3","key":"1342_CR17","doi-asserted-by":"crossref","first-page":"248","DOI":"10.1061\/(ASCE)MT.1943-5533.0000154","volume":"23","author":"AH Gandomi","year":"2011","unstructured":"Gandomi AH, Alavi AH, Mirzahosseini MR, Moqhadas Nejad F (2011) Nonlinear genetic-based models for prediction of flow number of asphalt mixtures. J Mater Civil Eng ASCE 23(3):248\u2013263","journal-title":"J Mater Civil Eng ASCE"},{"issue":"23","key":"1342_CR18","doi-asserted-by":"crossref","first-page":"5227","DOI":"10.1016\/j.ins.2011.07.026","volume":"181","author":"AH Gandomi","year":"2011","unstructured":"Gandomi AH, Alavi AH (2011) Multi-stage genetic programming: a new strategy to nonlinear system modeling. Inf Sci 181(23):5227\u20135239","journal-title":"Inf Sci"},{"issue":"5","key":"1342_CR19","doi-asserted-by":"crossref","first-page":"735","DOI":"10.2140\/jomms.2010.5.735","volume":"5","author":"AH Gandomi","year":"2010","unstructured":"Gandomi AH, Alavi AH, Arjmandi P, Aghaeifar A, Seyednoor M (2010) Genetic programming and orthogonal least squares: a hybrid approach to modeling the compressive strength of CFRP-confined concrete cylinders. J Mech Mater Struct 5(5):735\u2013753","journal-title":"J Mech Mater Struct"},{"key":"1342_CR20","doi-asserted-by":"crossref","first-page":"171","DOI":"10.1007\/s00521-011-0734-z","volume":"21","author":"AH Gandomi","year":"2012","unstructured":"Gandomi AH, Alavi AH (2012) A new multi-gene genetic programming approach to nonlinear system modeling. Part I: materials and structural engineering problems. Neural Comput Appl 21:171\u2013187","journal-title":"Neural Comput Appl"},{"key":"1342_CR21","doi-asserted-by":"crossref","unstructured":"Folino G, Pizzuti C, Spezzano G (2000) Genetic programming and simulated annealing: a hybrid method to evolve decision trees. In: Proceedings of EuroGP\u20192000 1802, pp 294\u2013303","DOI":"10.1007\/978-3-540-46239-2_22"},{"key":"1342_CR22","unstructured":"Deschaine LM, Zafran FA, Patel JJ, Amick D, Pettit R, Francone FD, Nordin P, Dilkes E, Fausett LV (2000) Solving the unsolved using machine learning, data mining and knowledge discovery to model a complex production process. In: Proceedings of advanced technology simulation conference. Wasington, DC"},{"issue":"3","key":"1342_CR23","doi-asserted-by":"crossref","first-page":"1338","DOI":"10.1016\/j.conbuildmat.2010.09.010","volume":"25","author":"AH Alavi","year":"2011","unstructured":"Alavi AH, Ameri M, Gandomi AH, Mirzahosseini MR (2011) Formulation of flow number of asphalt mixes using a hybrid computational method. Constr Build Mater 25(3):1338\u20131355","journal-title":"Constr Build Mater"},{"key":"1342_CR24","doi-asserted-by":"crossref","unstructured":"Aminian P, Javid MR, Asghari A, Gandomi AH, Arab Esmaeili M (2013) A robust predictive model for base shear of steel frame structures using a hybrid genetic programming and simulated annealing method. Neural Comput Appl (in press). doi: 10.1007\/s00521-011-0689-0","DOI":"10.1007\/s00521-011-0689-0"},{"key":"1342_CR25","unstructured":"Gandomi AH, Alavi AH, Sahab MG, Gandomi M, Safari Gorji M (2008) Empirical models for the prediction of flexural resistance and initial stiffness of welded beam-column joints. In: Proceedings of the 11th East Asia-Pacific conference on structural engineering construction. Taiwan, Paper No. 320"},{"key":"1342_CR26","doi-asserted-by":"crossref","unstructured":"Alavi AH, Gandomi AH, Mousavi M, Mollahasani A (2010) High-precision modeling of uplift capacity of suction caissons using a hybrid computational method. Geomech Eng 2(4):253\u2013280","DOI":"10.12989\/gae.2010.2.4.253"},{"key":"1342_CR27","doi-asserted-by":"crossref","unstructured":"Mousavi SM, Alavi AH, Gandomi AH, Mollahasani A (2011) A hybrid computational approach to formulate soil deformation moduli obtained from PLT. Eng Geol 123:324\u2013332","DOI":"10.1016\/j.enggeo.2011.09.005"},{"issue":"3","key":"1342_CR28","first-page":"11","volume":"18","author":"T Mitchell","year":"1997","unstructured":"Mitchell T (1997) Does machine learning really work? AI Mag 18(3):11\u201320","journal-title":"AI Mag"},{"key":"1342_CR29","unstructured":"Hall M, Smith L (1996) Practical feature subset selection for machine learning. In: Proceedings of the Australian computer science conference (University of Western Australia). University of Waikato"},{"key":"1342_CR30","unstructured":"Tesink S (2007) Improving intrusion detection systems through machine learning. ILK Research Group, Technical Report Series no. 07\u201302"},{"key":"1342_CR31","doi-asserted-by":"crossref","first-page":"671","DOI":"10.1126\/science.220.4598.671","volume":"22059","author":"S Kirkpatrick","year":"1983","unstructured":"Kirkpatrick S, Gelatt CDJR, Vecchi MP (1983) Optimisation by simulated annealing. Science 22059:671\u2013680","journal-title":"Science"},{"issue":"6","key":"1342_CR32","doi-asserted-by":"crossref","first-page":"1087","DOI":"10.1063\/1.1699114","volume":"21","author":"N Metropolis","year":"1953","unstructured":"Metropolis N, Rosenbluth AW, Rosenbluth MN, Teller AH, Teller E (1953) Equation of state calculations by fast computing mechanics. J Chem Phys 21(6):1087\u20131092","journal-title":"J Chem Phys"},{"key":"1342_CR33","volume-title":"Linear genetic programming","author":"M Brameier","year":"2007","unstructured":"Brameier M, Banzhaf W (2007) Linear genetic programming. Springer Science\u00a0+\u00a0Business Media, New York"},{"issue":"1","key":"1342_CR34","doi-asserted-by":"crossref","first-page":"17","DOI":"10.1109\/4235.910462","volume":"5","author":"M Brameier","year":"2001","unstructured":"Brameier M, Banzhaf W (2001) A comparison of linear genetic programming and neural networks in medical data mining. IEEE Trans Evol Comput 5(1):17\u201326","journal-title":"IEEE Trans Evol Comput"},{"issue":"5","key":"1342_CR35","doi-asserted-by":"crossref","first-page":"523","DOI":"10.1002\/eqe.4290230505","volume":"23","author":"P Fajfar","year":"1994","unstructured":"Fajfar P, Vidic T (1994) Consistent inelastic design spectra: hysteretic and input energy. Earthq Eng Struct Dyn 23(5):523\u2013537","journal-title":"Earthq Eng Struct Dyn"},{"key":"1342_CR36","volume-title":"Earthquake-resistant limit-state design for buildings","author":"H Akiyama","year":"1985","unstructured":"Akiyama H (1985) Earthquake-resistant limit-state design for buildings. University of Tokyo Press, Japan"},{"key":"1342_CR37","volume-title":"Discipulus lite TM owner\u2019s manual","author":"FD Francone","year":"2004","unstructured":"Francone FD (2004) Discipulus lite TM owner\u2019s manual. Machine Learning Technologies Inc, Littleton, CO"},{"key":"1342_CR38","volume-title":"Probability and statistics in civil engineering","author":"GN Smith","year":"1986","unstructured":"Smith GN (1986) Probability and statistics in civil engineering. Collins, London"},{"key":"1342_CR39","doi-asserted-by":"crossref","first-page":"269","DOI":"10.1016\/S1093-3263(01)00123-1","volume":"20","author":"A Golbraikh","year":"2002","unstructured":"Golbraikh A, Tropsha A (2002) Beware of q2. J Mole Graph Model 20:269\u2013276","journal-title":"J Mole Graph Model"},{"key":"1342_CR40","doi-asserted-by":"crossref","first-page":"302","DOI":"10.1002\/qsar.200710043","volume":"27","author":"PP Roy","year":"2008","unstructured":"Roy PP, Roy K (2008) On some aspects of variable selection for partial least squares regression models. QSAR Comb Sci 27:302\u2013313","journal-title":"QSAR Comb Sci"}],"container-title":["Neural Computing and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-013-1342-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s00521-013-1342-x\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-013-1342-x","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,7,9]],"date-time":"2019-07-09T16:37:54Z","timestamp":1562690274000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s00521-013-1342-x"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2013,2,13]]},"references-count":40,"journal-issue":{"issue":"6","published-print":{"date-parts":[[2014,5]]}},"alternative-id":["1342"],"URL":"https:\/\/doi.org\/10.1007\/s00521-013-1342-x","relation":{},"ISSN":["0941-0643","1433-3058"],"issn-type":[{"value":"0941-0643","type":"print"},{"value":"1433-3058","type":"electronic"}],"subject":[],"published":{"date-parts":[[2013,2,13]]}}}