{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,12]],"date-time":"2026-05-12T05:22:16Z","timestamp":1778563336113,"version":"3.51.4"},"reference-count":33,"publisher":"Springer Science and Business Media LLC","issue":"7-8","license":[{"start":{"date-parts":[[2013,5,3]],"date-time":"2013-05-03T00:00:00Z","timestamp":1367539200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Neural Comput &amp; Applic"],"published-print":{"date-parts":[[2014,6]]},"DOI":"10.1007\/s00521-013-1418-7","type":"journal-article","created":{"date-parts":[[2013,5,2]],"date-time":"2013-05-02T13:24:30Z","timestamp":1367501070000},"page":"1771-1783","source":"Crossref","is-referenced-by-count":11,"title":["Data-driven modeling and optimization for cavity filters using linear programming support vector regression"],"prefix":"10.1007","volume":"24","author":[{"given":"Jinzhu","family":"Zhou","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Baoyan","family":"Duan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jin","family":"Huang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hongjun","family":"Cao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2013,5,3]]},"reference":[{"issue":"2","key":"1418_CR1","doi-asserted-by":"crossref","first-page":"42","DOI":"10.1109\/MMW.2007.335528","volume":"8","author":"RV Snyder","year":"2007","unstructured":"Snyder RV (2007) Practical aspects of microwave filter development. IEEE Microw Mag 8(2):42\u201354","journal-title":"IEEE Microw Mag"},{"issue":"1","key":"1418_CR2","doi-asserted-by":"crossref","first-page":"166","DOI":"10.1109\/22.20035","volume":"37","author":"AR Mirzai","year":"1989","unstructured":"Mirzai AR, Cowan CFN, Crawford TM (1989) Intelligent alignment of waveguide filters using a machine learning approach. IEEE Trans Microw Theory Tech 37(1):166\u2013173","journal-title":"IEEE Trans Microw Theory Tech"},{"issue":"1 II","key":"1418_CR3","doi-asserted-by":"crossref","first-page":"450","DOI":"10.1109\/TMTT.2003.820895","volume":"52","author":"V Miraftab","year":"2004","unstructured":"Miraftab V, Mansour RR (2004) A robust fuzzy-logic technique for computer-aided diagnosis of microwave filters. IEEE Trans Microw Theory Tech 52(1 II):450\u2013456","journal-title":"IEEE Trans Microw Theory Tech"},{"issue":"12","key":"1418_CR4","doi-asserted-by":"crossref","first-page":"2781","DOI":"10.1109\/TMTT.2002.805291","volume":"50","author":"V Miraftab","year":"2002","unstructured":"Miraftab V, Mansour RR (2002) Computer-aided tuning of microwave filters using fuzzy logic. IEEE Trans Microw Theory Tech 50(12):2781\u20132788","journal-title":"IEEE Trans Microw Theory Tech"},{"key":"1418_CR5","doi-asserted-by":"crossref","first-page":"1357","DOI":"10.1109\/TCSI.2008.916614","volume":"55","author":"V Miraftab","year":"2008","unstructured":"Miraftab V, Mansour RR (2008) Fully automated RF\/microwave filter tuning by extracting human experience using fuzzy controllers. IEEE Trans Circuits Syst I 55:1357\u20131367","journal-title":"IEEE Trans Circuits Syst I"},{"key":"1418_CR6","doi-asserted-by":"crossref","first-page":"173","DOI":"10.2528\/PIERM10053105","volume":"13","author":"JJ Michalski","year":"2010","unstructured":"Michalski JJ (2010) Artificial neural networks approach in microwave filter tuning. Prog Electromagn Res 13:173\u2013188","journal-title":"Prog Electromagn Res"},{"key":"1418_CR7","doi-asserted-by":"crossref","first-page":"422","DOI":"10.1002\/mmce.20447","volume":"20","author":"J Zhou","year":"2010","unstructured":"Zhou J, Duan B, Huang J (2010) Influence and tuning of tunable screws for microwave filters using least squares support vector regression. Int J RF Microw Comput Aided Eng 20:422\u2013429","journal-title":"Int J RF Microw Comput Aided Eng"},{"issue":"7","key":"1418_CR8","doi-asserted-by":"crossref","first-page":"2051","DOI":"10.1016\/j.matcom.2008.10.011","volume":"79","author":"Z Lu","year":"2009","unstructured":"Lu Z, Sun J, Butts KR (2009) Linear programming support vector regression with wavelet kernel: a new approach to nonlinear dynamical systems identification. Math Comput Simul 79(7):2051\u20132063","journal-title":"Math Comput Simul"},{"issue":"1","key":"1418_CR9","doi-asserted-by":"crossref","first-page":"94","DOI":"10.1016\/j.asoc.2008.03.007","volume":"9","author":"Z Lu","year":"2009","unstructured":"Lu Z, Sun J (2009) Non-Mercer hybrid kernel for linear programming support vector regression in nonlinear systems identification. Appl Soft Comput J 9(1):94\u201399","journal-title":"Appl Soft Comput J"},{"key":"1418_CR10","doi-asserted-by":"crossref","unstructured":"Smola A, Schoelkopf B, Raetsch G (1999) Linear programs for automatic accuracy control in regression. In: Proceedings of the ninth international conference on artificial neural networks, Edinburgh, UK. IEE Conference Publication. IEE, pp 575\u2013580","DOI":"10.1049\/cp:19991171"},{"key":"1418_CR11","doi-asserted-by":"crossref","first-page":"199","DOI":"10.1023\/B:STCO.0000035301.49549.88","volume":"14","author":"AJ Smola","year":"2004","unstructured":"Smola AJ, Sch\u00f6lkopf B (2004) A tutorial on support vector regression. Statistics and Computing 14:199\u2013220","journal-title":"Statistics and Computing"},{"key":"1418_CR12","volume-title":"An introduction to support vector machines","author":"N Cristianini","year":"2000","unstructured":"Cristianini N, Shawe-Taylor J (2000) An introduction to support vector machines. Cambridge University Press, Cambridge"},{"issue":"1\u20133","key":"1418_CR13","doi-asserted-by":"crossref","first-page":"255","DOI":"10.1023\/A:1012422931930","volume":"46","author":"OL Mangasarian","year":"2002","unstructured":"Mangasarian OL, Musicant DR (2002) Large scale kernel regression via linear programming. Mach Learn 46(1\u20133):255\u2013269","journal-title":"Mach Learn"},{"issue":"7\u20139","key":"1418_CR14","doi-asserted-by":"crossref","first-page":"1578","DOI":"10.1016\/j.neucom.2007.04.010","volume":"71","author":"F Lauer","year":"2008","unstructured":"Lauer F, Bloch G (2008) Incorporating prior knowledge in support vector machines for classification: a review. Neurocomputing 71(7\u20139):1578\u20131594","journal-title":"Neurocomputing"},{"issue":"4","key":"1418_CR15","doi-asserted-by":"crossref","first-page":"1086","DOI":"10.1016\/j.automatica.2008.12.005","volume":"45","author":"P Trnka","year":"2009","unstructured":"Trnka P, Havlena V (2009) Subspace like identification incorporating prior information. Automatica 45(4):1086\u20131091","journal-title":"Automatica"},{"issue":"1","key":"1418_CR16","doi-asserted-by":"crossref","first-page":"89","DOI":"10.1007\/s10994-007-5035-5","volume":"70","author":"F Lauer","year":"2008","unstructured":"Lauer F, Bloch G (2008) Incorporating prior knowledge in support vector regression. Mach Learn 70(1):89\u2013118","journal-title":"Mach Learn"},{"issue":"1","key":"1418_CR17","doi-asserted-by":"crossref","first-page":"300","DOI":"10.1109\/TNN.2006.886354","volume":"18","author":"OL Mangasarian","year":"2007","unstructured":"Mangasarian OL, Wild EW (2007) Nonlinear knowledge in kernel approximation. IEEE Trans Neural Netw 18(1):300\u2013306","journal-title":"IEEE Trans Neural Netw"},{"key":"1418_CR18","doi-asserted-by":"crossref","DOI":"10.1002\/0471221619","volume-title":"Microstrip filters for RF\/microwave applications","author":"JS Hong","year":"2001","unstructured":"Hong JS, Caster MJL (2001) Microstrip filters for RF\/microwave applications. Wiley, New York"},{"issue":"11","key":"1418_CR19","doi-asserted-by":"crossref","first-page":"2125","DOI":"10.1109\/22.963147","volume":"49","author":"P Harscher","year":"2001","unstructured":"Harscher P, Vahldieck R (2001) Automated computer-controlled tuning of waveguide filters using adaptive network models. IEEE Trans Microw Theory Tech 49(11):2125\u20132130","journal-title":"IEEE Trans Microw Theory Tech"},{"key":"1418_CR20","doi-asserted-by":"crossref","unstructured":"Yu Y, Qian F(2008) Multi-scale linear programming support vector regression for ethylene distillation modeling. In: Proceedings of the World Congress on Intelligent Control and Automation (WCICA). Institute of Electrical and Electronics Engineers Inc., Chongqing, China, pp 1548\u20131552","DOI":"10.1109\/WCICA.2008.4594460"},{"issue":"2","key":"1418_CR21","doi-asserted-by":"crossref","first-page":"190","DOI":"10.1109\/TCBB.2008.139","volume":"6","author":"S Qiu","year":"2009","unstructured":"Qiu S, Lane T (2009) A framework for multiple kernel support vector regression and its applications to siRNA efficacy prediction. IEEE\/ACM Trans Comput Biol Bioinf 6(2):190\u2013199","journal-title":"IEEE\/ACM Trans Comput Biol Bioinf"},{"issue":"5","key":"1418_CR22","doi-asserted-by":"crossref","first-page":"647","DOI":"10.1007\/s00477-007-0162-x","volume":"22","author":"A Pozdnoukhov","year":"2008","unstructured":"Pozdnoukhov A, Kanevski M (2008) Multi-scale support vector algorithms for hot spot detection and modelling. Stoch Env Res Risk Assess 22(5):647\u2013660","journal-title":"Stoch Env Res Risk Assess"},{"issue":"1\u20133","key":"1418_CR23","doi-asserted-by":"crossref","first-page":"420","DOI":"10.1016\/j.neucom.2005.12.128","volume":"70","author":"D Zheng","year":"2006","unstructured":"Zheng D, Wang J, Zhao Y (2006) Non-flat function estimation with a multi-scale support vector regression. Neurocomputing 70(1\u20133):420\u2013429","journal-title":"Neurocomputing"},{"issue":"20","key":"1418_CR24","doi-asserted-by":"crossref","first-page":"3813","DOI":"10.1016\/j.ins.2008.05.016","volume":"178","author":"G Bloch","year":"2008","unstructured":"Bloch G, Lauer F, Colin G, Chamaillard Y (2008) Support vector regression from simulation data and few experimental samples. Inf Sci 178(20):3813\u20133827","journal-title":"Inf Sci"},{"key":"1418_CR25","doi-asserted-by":"crossref","first-page":"3683","DOI":"10.1016\/j.neucom.2009.07.009","volume":"72","author":"EG Ortiz-Garcia","year":"2009","unstructured":"Ortiz-Garcia EG, Salcedo-Sanz S, Perez-Bellido AM, Portilla-Figueras JA (2009) Improving the training time of support vector regression algorithms through novel hyper-parameters search space reductions. Neurocomputing 72:3683\u20133691","journal-title":"Neurocomputing"},{"key":"1418_CR26","doi-asserted-by":"crossref","first-page":"113","DOI":"10.1016\/S0893-6080(03)00169-2","volume":"17","author":"V Cherkassky","year":"2004","unstructured":"Cherkassky V, Yunqian M (2004) Practical selection of SVM parameters and noise estimation for SVM regression. Neural Netw 17:113\u2013126","journal-title":"Neural Netw"},{"key":"1418_CR27","doi-asserted-by":"crossref","first-page":"681","DOI":"10.1007\/s00500-009-0458-5","volume":"14","author":"T Phienthrakul","year":"2010","unstructured":"Phienthrakul T, Kijsirikul B (2010) Evolutionary strategies for hyperparameters of support vector machines based on multi-scale radial basis function kernels. Soft Comput 14:681\u2013699","journal-title":"Soft Comput"},{"key":"1418_CR28","doi-asserted-by":"crossref","first-page":"4725","DOI":"10.1016\/j.eswa.2008.06.046","volume":"36","author":"C-H Wu","year":"2009","unstructured":"Wu C-H, Tzeng G-H, Lin R-H (2009) A Novel hybrid genetic algorithm for kernel function and parameter optimization in support vector regression. Expert Syst Appl 36:4725\u20134735","journal-title":"Expert Syst Appl"},{"issue":"4","key":"1418_CR29","doi-asserted-by":"crossref","first-page":"277","DOI":"10.1109\/LMWC.2007.892970","volume":"17","author":"C-K Liao","year":"2007","unstructured":"Liao C-K, Chang C-Y, Lin J (2007) A vector-fitting formulation for parameter extraction of lossy microwave filters. IEEE Microw Wirel Compon Lett 17(4):277\u2013279","journal-title":"IEEE Microw Wirel Compon Lett"},{"key":"1418_CR30","doi-asserted-by":"crossref","unstructured":"Hong-Ming L, Chin-Ming T (2008) A parameter extraction method for microwave direct-coupled-resonator filters with the consideration of component losses. In: 2008 IEEE MTT-S international microwave symposium digest\u2014MTT 2008. 15\u201320 June 2008, Piscataway, NJ, pp 1083\u20131086","DOI":"10.1109\/MWSYM.2008.4633244"},{"key":"1418_CR31","doi-asserted-by":"crossref","first-page":"397","DOI":"10.1016\/j.eswa.2005.12.008","volume":"32","author":"T Gwo-Hshiung","year":"2007","unstructured":"Gwo-Hshiung T, Chih-Hung W, Yeong-Jia G, Wen-Chang F (2007) A real-valued genetic algorithm to optimize the parameters of support vector machine for predicting bankruptcy. Expert Syst Appl 32:397\u2013408","journal-title":"Expert Syst Appl"},{"key":"1418_CR32","volume-title":"Uniform design method and uniform design tables","author":"KT Fang","year":"1988","unstructured":"Fang KT (1988) Uniform design method and uniform design tables. Science Press, Beijing"},{"key":"1418_CR33","first-page":"422","volume":"20","author":"PS Pacheco","year":"2012","unstructured":"Pacheco PS, Boria VE, Candau CC et al (2012) EM-based synthesis and design of bandpass waveguide filters including manufacturing effects with FEST 3D. Int J RF Microw Comput Aided Eng 20:422\u2013429","journal-title":"Int J RF Microw Comput Aided Eng"}],"container-title":["Neural Computing and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-013-1418-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s00521-013-1418-7\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-013-1418-7","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,7,13]],"date-time":"2019-07-13T08:52:18Z","timestamp":1563007938000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s00521-013-1418-7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2013,5,3]]},"references-count":33,"journal-issue":{"issue":"7-8","published-print":{"date-parts":[[2014,6]]}},"alternative-id":["1418"],"URL":"https:\/\/doi.org\/10.1007\/s00521-013-1418-7","relation":{},"ISSN":["0941-0643","1433-3058"],"issn-type":[{"value":"0941-0643","type":"print"},{"value":"1433-3058","type":"electronic"}],"subject":[],"published":{"date-parts":[[2013,5,3]]}}}