{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,9]],"date-time":"2025-06-09T19:28:04Z","timestamp":1749497284330,"version":"3.40.3"},"publisher-location":"Cham","reference-count":20,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030607951"},{"type":"electronic","value":"9783030607968"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","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":[[2020]]},"DOI":"10.1007\/978-3-030-60796-8_33","type":"book-chapter","created":{"date-parts":[[2020,10,15]],"date-time":"2020-10-15T07:02:59Z","timestamp":1602745379000},"page":"388-399","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Parameters Selection of Twin Support Vector Regression Based on Cloud Particle Swarm Optimization"],"prefix":"10.1007","author":[{"given":"Xiuxi","family":"Wei","sequence":"first","affiliation":[]},{"given":"Huajuan","family":"Huang","sequence":"additional","affiliation":[]},{"given":"Weidong","family":"Tang","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,10,5]]},"reference":[{"key":"33_CR1","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4757-2440-0","volume-title":"The Nature of Statistical Learning Theory","author":"VN Vapnik","year":"1995","unstructured":"Vapnik, V.N.: The Nature of Statistical Learning Theory. Springer, New York (1995). \nhttps:\/\/doi.org\/10.1007\/978-1-4757-2440-0"},{"key":"33_CR2","doi-asserted-by":"publisher","first-page":"479","DOI":"10.1016\/j.isatra.2019.09.003","volume":"99","author":"X Liu","year":"2020","unstructured":"Liu, X., Jin, J., Weining, W., Herz, F.: A novel support vector machine ensemble model for estimation of free lime content in cement clinkers. ISA Trans. 99, 479\u2013487 (2020)","journal-title":"ISA Trans."},{"key":"33_CR3","doi-asserted-by":"publisher","first-page":"1011","DOI":"10.1016\/j.procs.2020.03.093","volume":"170","author":"LA Borrero","year":"2020","unstructured":"Borrero, L.A., Guette, L.S., Lopez, E., Pineda, O.B., Castro, E.B.: Predicting toxicity properties through machine learning. Procedia Comput. Sci. 170, 1011\u20131016 (2020)","journal-title":"Procedia Comput. Sci."},{"issue":"2","key":"33_CR4","doi-asserted-by":"publisher","first-page":"890","DOI":"10.1109\/TII.2012.2222652","volume":"9","author":"G Liu","year":"2013","unstructured":"Liu, G., Chen, L., Zhao, W.: Internal model control of permanent magnet synchronous motor using support vector machine generalized inverse. IEEE Trans. Ind. Inf. 9(2), 890\u2013898 (2013)","journal-title":"IEEE Trans. Ind. Inf."},{"issue":"4","key":"33_CR5","doi-asserted-by":"publisher","first-page":"978","DOI":"10.1109\/TBME.2019.2926104","volume":"67","author":"X Tang","year":"2020","unstructured":"Tang, X., Ma, Z., Hu, Q., Tang, W.: A real-time arrhythmia heartbeats classification algorithm using parallel delta modulations and rotated linear-kernel support vector machines. IEEE Trans. Bio-Med. Eng. 67(4), 978\u2013986 (2020)","journal-title":"IEEE Trans. Bio-Med. Eng."},{"key":"33_CR6","unstructured":"Jayadeva, Reshma, K., Chandra, S.: Twin support vector machines for pattern classification. IEEE Trans. Pattern Anal. Mach. Intell. 29(5), 905\u2013910 (2007)"},{"key":"33_CR7","doi-asserted-by":"crossref","unstructured":"Fung, G., Mangasarian, O.L.: Proximal support vector machine classifiers. In: Proceedings of 7th ACM SIFKDD International Conference on Knowledge Discovery and Data Mining, pp. 77\u201386 (2001)","DOI":"10.1145\/502512.502527"},{"issue":"1","key":"33_CR8","doi-asserted-by":"publisher","first-page":"69","DOI":"10.1109\/TPAMI.2006.17","volume":"28","author":"OL Mangasarian","year":"2006","unstructured":"Mangasarian, O.L., Wild, E.W.: Multisurface proximal support vector machine classification via generalized eigenvalues. IEEE Trans. Pattern Anal. Mach. Intell. 28(1), 69\u201374 (2006)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"33_CR9","doi-asserted-by":"publisher","first-page":"20","DOI":"10.1016\/j.ins.2020.03.038","volume":"526","author":"AR Mello","year":"2020","unstructured":"Mello, A.R., Stemmer, M.R., Koerich, A.L.: Incremental and decremental fuzzy bounded twin support vector machine. Inf. Sci. 526, 20\u201338 (2020)","journal-title":"Inf. Sci."},{"issue":"3","key":"33_CR10","doi-asserted-by":"publisher","first-page":"318","DOI":"10.1007\/s11767-007-0211-0","volume":"26","author":"XS Zhang","year":"2009","unstructured":"Zhang, X.S., Gao, X.B., Wang, Y.: Twin support vector machine for MCs detection. J. Electron. (China) 26(3), 318\u2013325 (2009)","journal-title":"J. Electron. (China)"},{"key":"33_CR11","doi-asserted-by":"publisher","first-page":"365","DOI":"10.1016\/j.neunet.2009.07.002","volume":"23","author":"X Peng","year":"2010","unstructured":"Peng, X.: TSVR: an efficient twin support vector machine for regression. Neural Netw. 23, 365\u2013372 (2010)","journal-title":"Neural Netw."},{"key":"33_CR12","doi-asserted-by":"publisher","first-page":"2846","DOI":"10.1016\/j.neucom.2010.08.013","volume":"73","author":"X Peng","year":"2010","unstructured":"Peng, X.: Primal twin support vector regression and its sparse approximation. Neurocomputing 73, 2846\u20132858 (2010)","journal-title":"Neurocomputing"},{"key":"33_CR13","doi-asserted-by":"publisher","first-page":"505","DOI":"10.1007\/s00521-010-0454-9","volume":"21","author":"X Chen","year":"2012","unstructured":"Chen, X., Yang, J., Liang, J.: Smooth twin support vector regression. Neural Comput. Appl. 21, 505\u2013513 (2012). \nhttps:\/\/doi.org\/10.1007\/s00521-010-0454-9","journal-title":"Neural Comput. Appl."},{"issue":"3","key":"33_CR14","doi-asserted-by":"publisher","first-page":"215","DOI":"10.1080\/09540091.2019.1573418","volume":"31","author":"F Sheykh Mohammadi","year":"2019","unstructured":"Sheykh Mohammadi, F., Amiri, A.: TS-WRSVM: twin structural weighted relaxed support vector machine. Connect. Sci. 31(3), 215\u2013243 (2019)","journal-title":"Connect. Sci."},{"issue":"8","key":"33_CR15","first-page":"1651","volume":"37","author":"Y Liu","year":"2009","unstructured":"Liu, Y., Li, D., Zhang, G., et al.: Atomized feature in cloud based evolutionary algorithm. J. Electron. 37(8), 1651\u20131658 (2009)","journal-title":"J. Electron."},{"key":"33_CR16","first-page":"143","volume":"11","author":"D Li","year":"2000","unstructured":"Li, D., Di, K., et al.: Mining association rules with linguistic cloud models. J. Softw. 11, 143\u2013158 (2000)","journal-title":"J. Softw."},{"key":"33_CR17","doi-asserted-by":"publisher","first-page":"64","DOI":"10.1016\/j.knosys.2017.10.008","volume":"139","author":"R Rastogi","year":"2018","unstructured":"Rastogi, R., Saigal, P., Chandra, S.: Angle-based twin parametric-margin support vector machine for pattern classification. Knowl.-Based Syst. 139, 64\u201377 (2018)","journal-title":"Knowl.-Based Syst."},{"issue":"7","key":"33_CR18","first-page":"1419","volume":"35","author":"C Dai","year":"2007","unstructured":"Dai, C., Zhu, Y., et al.: Cloud method based genetic algorithm and its applications, algorithm. J. Electron. (China) 35(7), 1419\u20131424 (2007)","journal-title":"J. Electron. (China)"},{"issue":"4","key":"33_CR19","first-page":"646","volume":"24","author":"C Dai","year":"2007","unstructured":"Dai, C., Zhu, Y., et al.: Adaptive genetic algorithm based on cloud theory. Control Theory Appl. 24(4), 646\u2013650 (2007)","journal-title":"Control Theory Appl."},{"key":"33_CR20","doi-asserted-by":"crossref","unstructured":"Fu, Q., Cai, Z., Wu, Y.: A novel hybrid method: genetic algorithm based on asymmetrical cloud model. In: 2010 International Conference on Artificial Intelligence and Computational Intelligence (2010)","DOI":"10.1109\/AICI.2010.213"}],"container-title":["Lecture Notes in Computer Science","Intelligent Computing Methodologies"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-60796-8_33","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,10,15]],"date-time":"2020-10-15T07:19:49Z","timestamp":1602746389000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-60796-8_33"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030607951","9783030607968"],"references-count":20,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-60796-8_33","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"5 October 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICIC","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Intelligent Computing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Bari","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Italy","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2020","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2 October 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"5 October 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icic2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/ic-ic.tongji.edu.cn\/2020\/index.htm","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}