{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T16:47:01Z","timestamp":1743007621585,"version":"3.40.3"},"publisher-location":"Cham","reference-count":19,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319961354"},{"type":"electronic","value":"9783319961361"}],"license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"tdm","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":[[2018]]},"DOI":"10.1007\/978-3-319-96136-1_11","type":"book-chapter","created":{"date-parts":[[2018,7,7]],"date-time":"2018-07-07T12:27:46Z","timestamp":1530966466000},"page":"126-137","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Optimizing Support Vector Regression with Swarm Intelligence for Estimating the Concrete Compression Strength"],"prefix":"10.1007","author":[{"given":"Manoel Alves","family":"de Almeida Neto","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Roberta de Andrade","family":"de A. Fagundes","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Carmelo J. A.","family":"Bastos-Filho","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2018,7,8]]},"reference":[{"key":"11_CR1","volume-title":"Introduction to Statistical Quality Control","author":"DC Montgomery","year":"2007","unstructured":"Montgomery, D.C.: Introduction to Statistical Quality Control. Wiley, Hoboken (2007)"},{"key":"11_CR2","doi-asserted-by":"publisher","first-page":"339","DOI":"10.1016\/B978-0-08-044894-7.01352-X","volume-title":"International Encyclopedia of Education","author":"H.-H. Huang","year":"2010","unstructured":"Huang, H.H., Huang, S.Y.: Nonlinear regression analysis. In: International Encyclopedia of Education, pp. 339\u2013346 (2010)"},{"issue":"10","key":"11_CR3","first-page":"203","volume":"11","author":"D Basak","year":"2007","unstructured":"Basak, D., Pal, S., Patranabis, D.C.: Support vector regression. Neural Inf. Process.-Lett. Rev. 11(10), 203\u2013224 (2007)","journal-title":"Neural Inf. Process.-Lett. Rev."},{"key":"11_CR4","doi-asserted-by":"publisher","first-page":"760","DOI":"10.1007\/978-1-4419-1153-7_200581","volume-title":"Encyclopedia of Machine Learning","author":"J Kennedy","year":"2013","unstructured":"Kennedy, J.: Particle swarm optimization. In: Gass, S.I., Fu, M.C. (eds.) Encyclopedia of Machine Learning, pp. 760\u2013766. Springer, Boston (2013). https:\/\/doi.org\/10.1007\/978-1-4419-1153-7_200581"},{"key":"11_CR5","unstructured":"Karaboga, D.: An idea based on honey bee swarm for numerical optimization. Technical report-tr06, Erciyes University, Engineering Faculty, Computer Engineering Department (2005)"},{"key":"11_CR6","doi-asserted-by":"publisher","first-page":"261","DOI":"10.1007\/978-3-642-00267-0_9","volume-title":"Nature-Inspired Algorithms for Optimisation","author":"CJ Bastos Filho","year":"2009","unstructured":"Bastos Filho, C.J., de Lima Neto, F.B., Lins, A.J., Nascimento, A.I., Lima, M.P.: Fish school search. In: Chiong, R. (ed.) Nature-Inspired Algorithms for Optimisation, vol. 193, pp. 261\u2013277. Springer, Berlin (2009). https:\/\/doi.org\/10.1007\/978-3-642-00267-0_9"},{"issue":"12","key":"11_CR7","doi-asserted-by":"publisher","first-page":"1797","DOI":"10.1016\/S0008-8846(98)00165-3","volume":"28","author":"IC Yeh","year":"1998","unstructured":"Yeh, I.C.: Modeling of strength of high-performance concrete using artificial neural networks. Cem. Concr. Res. 28(12), 1797\u20131808 (1998)","journal-title":"Cem. Concr. Res."},{"issue":"9","key":"11_CR8","doi-asserted-by":"publisher","first-page":"1608","DOI":"10.1016\/j.conbuildmat.2010.02.032","volume":"24","author":"F Almeida Filho","year":"2010","unstructured":"Almeida Filho, F., Barrag\u00e1n, B.E., Casas, J., El Debs, A.: Hardened properties of self-compacting concrete\u2014a statistical approach. Constr. Build. Mater. 24(9), 1608\u20131615 (2010)","journal-title":"Constr. Build. Mater."},{"key":"11_CR9","doi-asserted-by":"publisher","first-page":"330","DOI":"10.1016\/j.conbuildmat.2012.04.034","volume":"36","author":"F Aslani","year":"2012","unstructured":"Aslani, F., Nejadi, S.: Mechanical properties of conventional and self-compacting concrete: an analytical study. Constr. Build. Mater. 36, 330\u2013347 (2012)","journal-title":"Constr. Build. Mater."},{"key":"11_CR10","unstructured":"de A. Fagundes, R.A., de Souza, R.M.C.R.: Software defect estimation using support vector regression. In: Proceedings of the 22nd International Conference on Software Engineering & Knowledge Engineering (SEKE 2010), Redwood City, San Francisco Bay, CA, USA, 1\u20133 July 2010, pp. 265\u2013268 (2010)"},{"issue":"6","key":"11_CR11","doi-asserted-by":"publisher","first-page":"625","DOI":"10.1111\/geb.12569","volume":"26","author":"ZE Taranu","year":"2017","unstructured":"Taranu, Z.E., Gregory-Eaves, I., Steele, R.J., Beaulieu, M., Legendre, P.: Predicting microcystin concentrations in lakes and reservoirs at a continental scale: a new framework for modelling an important health risk factor. Glob. Ecol. Biogeogr. 26(6), 625\u2013637 (2017)","journal-title":"Glob. Ecol. Biogeogr."},{"issue":"14","key":"11_CR12","doi-asserted-by":"publisher","first-page":"3990","DOI":"10.1016\/j.apm.2014.12.016","volume":"39","author":"H Soleimani","year":"2015","unstructured":"Soleimani, H., Kannan, G.: A hybrid particle swarm optimization and genetic algorithm for closed-loop supply chain network design in large-scale networks. Appl. Math. Model. 39(14), 3990\u20134012 (2015)","journal-title":"Appl. Math. Model."},{"issue":"3","key":"11_CR13","doi-asserted-by":"publisher","first-page":"1393","DOI":"10.1109\/TR.2016.2515581","volume":"65","author":"W Zhao","year":"2016","unstructured":"Zhao, W., Tao, T., Zio, E., Wang, W.: A novel hybrid method of parameters tuning in support vector regression for reliability prediction: particle swarm optimization combined with analytical selection. IEEE Trans. Reliab. 65(3), 1393\u20131405 (2016)","journal-title":"IEEE Trans. Reliab."},{"key":"11_CR14","doi-asserted-by":"publisher","first-page":"290","DOI":"10.1016\/j.asoc.2015.12.032","volume":"41","author":"AB Serapi\u00e3o","year":"2016","unstructured":"Serapi\u00e3o, A.B., Corr\u00eaa, G.S., Goncalves, F.B., Carvalho, V.O.: Combining k-means and k-harmonic with fish school search algorithm for data clustering task on graphics processing units. Appl. Soft Comput. 41, 290\u2013304 (2016)","journal-title":"Appl. Soft Comput."},{"key":"11_CR15","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.ins.2012.05.002","volume":"209","author":"D Karaboga","year":"2012","unstructured":"Karaboga, D., Ozturk, C., Karaboga, N., Gorkemli, B.: Artificial bee colony programming for symbolic regression. Inf. Sci. 209, 1\u201315 (2012)","journal-title":"Inf. Sci."},{"issue":"3","key":"11_CR16","doi-asserted-by":"publisher","first-page":"832","DOI":"10.1214\/aoms\/1177728190","volume":"27","author":"Murray Rosenblatt","year":"1956","unstructured":"Rosenblatt, M.: Remarks on some nonparametric estimates of a density function. In: The Annals of Mathematical Statistics, pp. 832\u2013837 (1956)","journal-title":"The Annals of Mathematical Statistics"},{"issue":"1","key":"11_CR17","doi-asserted-by":"publisher","first-page":"58","DOI":"10.1109\/4235.985692","volume":"6","author":"M Clerc","year":"2002","unstructured":"Clerc, M., Kennedy, J.: The particle swarm-explosion, stability, and convergence in a multidimensional complex space. IEEE Trans. Evol. Comput. 6(1), 58\u201373 (2002)","journal-title":"IEEE Trans. Evol. Comput."},{"issue":"4","key":"11_CR18","doi-asserted-by":"publisher","first-page":"699","DOI":"10.1175\/1520-0434(1992)007<0699:CATCRA>2.0.CO;2","volume":"7","author":"AG Barnston","year":"1992","unstructured":"Barnston, A.G.: Correspondence among the correlation, RMSE, and Heidke forecast verification measures; refinement of the Heidke score. Weather Forecast. 7(4), 699\u2013709 (1992)","journal-title":"Weather Forecast."},{"issue":"6","key":"11_CR19","doi-asserted-by":"publisher","first-page":"80","DOI":"10.2307\/3001968","volume":"1","author":"F Wilcoxon","year":"1945","unstructured":"Wilcoxon, F.: Individual comparisons by ranking methods. Biom. Bull. 1(6), 80\u201383 (1945)","journal-title":"Biom. Bull."}],"container-title":["Lecture Notes in Computer Science","Machine Learning and Data Mining in Pattern Recognition"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-96136-1_11","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,7]],"date-time":"2024-03-07T17:32:03Z","timestamp":1709832723000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-319-96136-1_11"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783319961354","9783319961361"],"references-count":19,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-96136-1_11","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2018]]},"assertion":[{"value":"8 July 2018","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"MLDM","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Machine Learning and Data Mining in Pattern Recognition","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"New York, NY","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"USA","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2018","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15 July 2018","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"19 July 2018","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"mldm2018","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.mldm.de\/index.php","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}