{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,20]],"date-time":"2025-07-20T03:43:38Z","timestamp":1752983018478},"reference-count":8,"publisher":"IGI Global","issue":"4","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2012,10,1]]},"abstract":"<p>The performance of support vector mchine (SVM) depends on the selection of model parameters, however, the selection of SVM model parameters more depends on the empirical value. According to the above deficiency, this paper proposed a parameters optimization method of support vector machine based on immune memory clone strategy (IMC). This method can solve the multi-peak model parameters selection problem better which is introduced by n-folded cross-verification. Tests on standard datasets show that this method has higher precision and faster optimization speed compared with other four methods. Then the proposed method was applied to bus passenger flow counting. The experimental results show that the method reposed in this paper obtains higher classification accuracy.<\/p>","DOI":"10.4018\/japuc.2012100108","type":"journal-article","created":{"date-parts":[[2013,8,9]],"date-time":"2013-08-09T19:24:16Z","timestamp":1376076256000},"page":"74-80","source":"Crossref","is-referenced-by-count":1,"title":["SVM Parameter Optimization based on Immune Memory Clone Strategy and Application in Bus Passenger Flow Counting"],"prefix":"10.4018","volume":"4","author":[{"given":"Zhu","family":"Fang","sequence":"first","affiliation":[{"name":"School of Computer and Communication Engineering, Northeastern University at Qinhuangdao, Qinhuangdao, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wei","family":"Junfang","sequence":"additional","affiliation":[{"name":"School of Resource and Material, Northeastern University at Qinhuangdao, Qinhuangdao, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"2432","reference":[{"key":"japuc.2012100108-0","unstructured":"Bo, J., Yuchun, T., Yang-Qing, Z., Chung-Dar, L., & Weber, I. (2005). Support vector machine with the fuzzy hybrid kernel for protein subcellular localization classification. In Proceedings of IEEE International Conference on Fuzzy Systems (FUZZ\u201905), Reno, NV, (pp. 420-423)."},{"issue":"3","key":"japuc.2012100108-1","first-page":"25","article-title":"Application and parameters optimization of LS-SVM based on SA and bootstrap, statistic and decision.","volume":"4","author":"Z.Chunxiu","year":"2010","journal-title":"International Journal of Advanced Pervasive and Ubiquitous Computing"},{"key":"japuc.2012100108-2","first-page":"490","article-title":"Damage identification for simply-supported bridge based on SVM optimized by PSO.","volume":"80-81","author":"L.Hanbing","year":"2011","journal-title":"Information Engineering for Mechanics and Materials"},{"key":"japuc.2012100108-3","author":"C.Nello","year":"2006","journal-title":"An introduction to support vector machines and other kernel-based learning methods"},{"key":"japuc.2012100108-4","unstructured":"Ning, Z., Zhigang, F., & Qi, W. (2009). Parameter optimization of support vector machine for classification using niche genetic algorithm. Journal of Nanjing University of Science and Technology, 16-19."},{"key":"japuc.2012100108-5","first-page":"470","article-title":"Parameters optimization in SVM based-on ant colony optimization algorithm.","volume":"2010","author":"L.Xiangying","year":"2010","journal-title":"Nanotechnology and Computer Engineering"},{"issue":"8","key":"japuc.2012100108-6","first-page":"1160","article-title":"Determination of optimal SVM parameters by using GA\/PSO.","volume":"5","author":"R.Yuan","year":"2010","journal-title":"Journal of Computers"},{"key":"japuc.2012100108-7","doi-asserted-by":"crossref","unstructured":"Zhou, H. G., & Yang, C. D. (2006). Using immune algorithm to optimize anomaly detection based on SVM. In Proceedings of IEEE International Machine Learning and Cybernetics Conference, Dalian, China (pp. 4257-4259).","DOI":"10.1109\/ICMLC.2006.259008"}],"container-title":["International Journal of Advanced Pervasive and Ubiquitous Computing"],"original-title":[],"language":"ng","link":[{"URL":"https:\/\/www.igi-global.com\/viewtitle.aspx?TitleId=79912","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,1]],"date-time":"2022-06-01T14:31:29Z","timestamp":1654093889000},"score":1,"resource":{"primary":{"URL":"https:\/\/services.igi-global.com\/resolvedoi\/resolve.aspx?doi=10.4018\/japuc.2012100108"}},"subtitle":[""],"short-title":[],"issued":{"date-parts":[[2012,10,1]]},"references-count":8,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2012,10]]}},"URL":"https:\/\/doi.org\/10.4018\/japuc.2012100108","relation":{},"ISSN":["1937-965X","1937-9668"],"issn-type":[{"value":"1937-965X","type":"print"},{"value":"1937-9668","type":"electronic"}],"subject":[],"published":{"date-parts":[[2012,10,1]]}}}