{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,29]],"date-time":"2026-04-29T08:03:51Z","timestamp":1777449831853,"version":"3.51.4"},"reference-count":31,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2015,9,16]],"date-time":"2015-09-16T00:00:00Z","timestamp":1442361600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/501100001809","name":"the National Natural Science Foundation of China","doi-asserted-by":"crossref","award":["61379101"],"award-info":[{"award-number":["61379101"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Int. J. Mach. Learn. &amp; Cyber."],"published-print":{"date-parts":[[2016,4]]},"DOI":"10.1007\/s13042-015-0424-8","type":"journal-article","created":{"date-parts":[[2015,9,16]],"date-time":"2015-09-16T03:53:09Z","timestamp":1442375589000},"page":"193-203","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":58,"title":["Twin support vector machines based on fruit fly optimization algorithm"],"prefix":"10.1007","volume":"7","author":[{"given":"Shifei","family":"Ding","sequence":"first","affiliation":[]},{"given":"Xiekai","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Junzhao","family":"Yu","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2015,9,16]]},"reference":[{"key":"424_CR1","unstructured":"Cristianini N, Taylor JS (2004) An Introduction to support vector machines and other kernel-based learning methods. Translated by Li Guozheng, Wang Meng, Zeng Huajun. Publishing House of Electronics Industry, Beijing"},{"issue":"1","key":"424_CR2","first-page":"2","volume":"40","author":"D Shifei","year":"2011","unstructured":"Shifei D, Bingjuan Q, HongYan T (2011) An overview on theory and algorithm of support vector machines. J Univ Electron Sci Technol China 40(1):2\u201310","journal-title":"J Univ Electron Sci Technol China"},{"key":"424_CR3","doi-asserted-by":"crossref","DOI":"10.1007\/978-1-4757-3264-1","volume-title":"The nature of statistical learning theory. Translated by Zhang Xuegong","author":"VN Vapnik","year":"2000","unstructured":"Vapnik VN (2000) The nature of statistical learning theory. Translated by Zhang Xuegong. Tsinghua University Press, Beijing"},{"key":"424_CR4","unstructured":"Vapnik VN (2004) Statistical learning theory. Translated by Xu Jianhua, Zhang Xuegong. Publishing House of Electronics Industry, Beijing"},{"issue":"2","key":"424_CR5","doi-asserted-by":"crossref","first-page":"701","DOI":"10.12785\/amis\/070238","volume":"7","author":"L Hui","year":"2013","unstructured":"Hui L, Shifei D (2013) Research of individual neural network generation and ensemble algorithm based on quotient space granularity clustering. Appl Math Inf Sci 7(2):701\u2013708","journal-title":"Appl Math Inf Sci"},{"issue":"3","key":"424_CR6","doi-asserted-by":"crossref","first-page":"1251","DOI":"10.12785\/amis\/070350","volume":"7","author":"L Hui","year":"2013","unstructured":"Hui L, Shifei D (2013) Research and development of granular neural networks. Appl Math Inf Sci 7(3):1251\u20131261","journal-title":"Appl Math Inf Sci"},{"key":"424_CR7","doi-asserted-by":"crossref","first-page":"225","DOI":"10.1016\/j.neucom.2005.05.006","volume":"68","author":"X Wang","year":"2005","unstructured":"Wang X, He Q, Chen D, Yeung D (2005) A genetic algorithm for solving the inverse problem of support vector machines. Neurocomputing 68:225\u2013238","journal-title":"Neurocomputing"},{"issue":"1","key":"424_CR8","doi-asserted-by":"crossref","first-page":"109","DOI":"10.1142\/S0218001408006144","volume":"22","author":"X Wang","year":"2008","unstructured":"Wang X, Lu S, Zhai J (2008) Fast fuzzy multi-category SVM based on support vector domain description. Int J Pattern Recognit Artif Intell 22(1):109\u2013120","journal-title":"Int J Pattern Recognit Artif Intell"},{"key":"424_CR9","doi-asserted-by":"crossref","unstructured":"Fung G, Mangasarian OL (2001) Proximal support vector machine classifiers. In: Proceedings 7th ACMSIFKDD international conference on knowledge discovery and data mining. pp 77\u201386","DOI":"10.1145\/502512.502527"},{"key":"424_CR10","doi-asserted-by":"crossref","unstructured":"Mangasarian OL, Wild EW (2006) Multisurface proximal support vector machine classification via generalized eigenvalues. IEEE Trans Pattern Anal Mach Intell 28(1):69\u201374","DOI":"10.1109\/TPAMI.2006.17"},{"key":"424_CR11","doi-asserted-by":"crossref","unstructured":"Jayadeva, Khemchandni R, Chandra S (2007) Twin support vector machines for pattern classification. IEEE Trans Pattern Anal Mach Intell 29(5):905\u2013910","DOI":"10.1109\/TPAMI.2007.1068"},{"issue":"2","key":"424_CR12","doi-asserted-by":"crossref","first-page":"245","DOI":"10.1007\/s10462-012-9336-0","volume":"42","author":"S Ding","year":"2014","unstructured":"Ding S, Junzhao Y, Bingjuan Q (2014) An overview on twin support vector machines. Artif Intell Rev 42(2):245\u2013252","journal-title":"Artif Intell Rev"},{"key":"424_CR13","doi-asserted-by":"crossref","first-page":"203","DOI":"10.1016\/j.knosys.2012.08.001","volume":"37","author":"YH Shao","year":"2013","unstructured":"Shao YH, Wang Z, Chen WJ et al (2013) A regularization for the projection twin support vector machine. Knowl-Based Syst 37:203\u2013210","journal-title":"Knowl-Based Syst"},{"issue":"20","key":"424_CR14","doi-asserted-by":"crossref","first-page":"493","DOI":"10.4156\/jdcta.vol6.issue20.53","volume":"6","author":"J Yu","year":"2012","unstructured":"Yu J, Ding S, Jin F, Huang H, Han Y (2012) Twin support vector machines based on rough sets. Int J Digit Content Technol Appl 6(20):493\u2013500","journal-title":"Int J Digit Content Technol Appl"},{"key":"424_CR15","unstructured":"Chen J, Ji G (2010) Weighted least squares twin support vector machines for pattern classification. In: 2010 The 2nd international conference on computer and automation engineering, Singapore: [s.n.], vol 2. pp 242\u2013246"},{"key":"424_CR16","doi-asserted-by":"crossref","first-page":"31","DOI":"10.1016\/j.neunet.2012.06.010","volume":"35","author":"Q Ye","year":"2012","unstructured":"Ye Q, Zhao C, Gao S (2012) Weighted twin support vector machines with local information and its application. Neural Netw 35:31\u201339","journal-title":"Neural Netw"},{"key":"424_CR17","doi-asserted-by":"crossref","first-page":"1241","DOI":"10.1007\/s00521-014-1596-y","volume":"25","author":"S Ding","year":"2014","unstructured":"Ding S, Wu F, Shi Z (2014) Wavelet twin support vector machine [J]. Neural Comput Appl 25:1241\u20131247","journal-title":"Neural Comput Appl"},{"key":"424_CR18","first-page":"465","volume":"145","author":"W Chen","year":"2014","unstructured":"Chen W, Shao Y, Deng N (2014) Least squares twin support vector machine for semi-supervised classification. Neuro Comput 145:465\u2013476","journal-title":"Neuro Comput"},{"issue":"2","key":"424_CR19","doi-asserted-by":"crossref","first-page":"417","DOI":"10.1007\/s11425-013-4718-6","volume":"57","author":"YJ Tian","year":"2014","unstructured":"Tian YJ, Ju XC, Qi ZQ, Shi Y (2014) Improved twin support vector machine. Sci China Math 57(2):417\u2013432","journal-title":"Sci China Math"},{"key":"424_CR20","doi-asserted-by":"crossref","first-page":"1710","DOI":"10.1016\/j.procs.2013.05.339","volume":"18","author":"Y Wang","year":"2013","unstructured":"Wang Y, Zhao X, Tian Y (2013) Local and global regularized twin SVM. Proced Comput Sci 18:1710\u20131719","journal-title":"Proced Comput Sci"},{"issue":"1","key":"424_CR21","doi-asserted-by":"crossref","first-page":"305","DOI":"10.1016\/j.patcog.2012.06.019","volume":"46","author":"Z Qi","year":"2013","unstructured":"Qi Z, Tian Y, Shi Y (2013) Robust twin support vector machine for pattern classification. Pattern Recogn 46(1):305\u2013316","journal-title":"Pattern Recogn"},{"key":"424_CR22","doi-asserted-by":"crossref","first-page":"1085","DOI":"10.1016\/j.neucom.2014.07.025","volume":"149","author":"X Xie","year":"2015","unstructured":"Xie X, Sun S (2015) Multitask centroid twin support vector machines. Neurocomputing 149:1085\u20131091","journal-title":"Neurocomputing"},{"issue":"1","key":"424_CR23","doi-asserted-by":"crossref","first-page":"137","DOI":"10.1007\/s12559-014-9278-8","volume":"7","author":"M Tanveer","year":"2015","unstructured":"Tanveer M (2015) Robust and sparse linear programming twin support vector machines. Cognit Comput 7(1):137\u2013149","journal-title":"Cognit Comput"},{"issue":"2","key":"424_CR24","doi-asserted-by":"crossref","first-page":"301","DOI":"10.1109\/TITB.2009.2037752","volume":"14","author":"RN Ganesh","year":"2010","unstructured":"Ganesh RN, Dinesh KK, Jayadeva (2010) Twin SVM for gesture classification using the surface electromyogram. IEEE Trans Inf Technol Biomed 14(2):301\u2013308","journal-title":"IEEE Trans Inf Technol Biomed"},{"key":"424_CR25","doi-asserted-by":"crossref","unstructured":"Arjunan SP, Kumar DK, Naik GR (2010) A machine learning based method for classification of fractal features of forearm sEMG using twin support vector machines. In: Engineering in medicine and biology society (EMBC), 2010 annual international conference of the IEEE. pp 4821\u20134824","DOI":"10.1109\/IEMBS.2010.5627902"},{"key":"424_CR26","doi-asserted-by":"crossref","unstructured":"Cong H, Yang C, Pu X (2008) Efficient speaker recognition based on multi-class twin support vector machines and GMMs. In: 2008 IEEE conference on robotics, automation and mechatronics. pp 348\u2013352","DOI":"10.1109\/RAMECH.2008.4681433"},{"issue":"8","key":"424_CR27","doi-asserted-by":"crossref","first-page":"2267","DOI":"10.1016\/j.patcog.2013.01.023","volume":"46","author":"Z Wang","year":"2013","unstructured":"Wang Z, Shao YH, Wu TR (2013) A GA-based model selection for smooth twin parametric-margin support vector machine. Pattern Recogn 46(8):2267\u20132277","journal-title":"Pattern Recogn"},{"issue":"9","key":"424_CR28","doi-asserted-by":"crossref","first-page":"2296","DOI":"10.4304\/jcp.8.9.2296-2303","volume":"8","author":"S Ding","year":"2013","unstructured":"Ding S, Yu J, Huang H, Zhao H (2013) Twin support vector machine based particle swarm optimization. J Comput 8(9):2296\u20132303","journal-title":"J Comput"},{"issue":"7","key":"424_CR29","doi-asserted-by":"crossref","first-page":"1743","DOI":"10.4304\/jsw.8.7.1743-1750","volume":"8","author":"S Ding","year":"2013","unstructured":"Ding S, Wu F, Yu J, Huang H, Zhao H (2013) Twin support vector machines based on quantum particle swarm optimization. J Softw 8(7):1743\u20131750","journal-title":"J Softw"},{"key":"424_CR30","doi-asserted-by":"crossref","first-page":"69","DOI":"10.1016\/j.knosys.2011.07.001","volume":"26","author":"WT Pan","year":"2012","unstructured":"Pan WT (2012) A new fruit fly optimization algorithm: taking the financial distress model as an example. Knowl Based Syst 26:69\u201374","journal-title":"Knowl Based Syst"},{"issue":"9","key":"424_CR31","doi-asserted-by":"crossref","first-page":"4310","DOI":"10.1016\/j.eswa.2015.01.048","volume":"42","author":"L Wang","year":"2015","unstructured":"Wang L, Shi Y, Liu S (2015) An improved fruit fly optimization algorithm and its application to joint replenishment problems. Expert Syst Appl 42(9):4310\u20134323","journal-title":"Expert Syst Appl"}],"container-title":["International Journal of Machine Learning and Cybernetics"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s13042-015-0424-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s13042-015-0424-8\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s13042-015-0424-8","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,6,2]],"date-time":"2019-06-02T10:31:20Z","timestamp":1559471480000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s13042-015-0424-8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,9,16]]},"references-count":31,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2016,4]]}},"alternative-id":["424"],"URL":"https:\/\/doi.org\/10.1007\/s13042-015-0424-8","relation":{},"ISSN":["1868-8071","1868-808X"],"issn-type":[{"value":"1868-8071","type":"print"},{"value":"1868-808X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2015,9,16]]}}}