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第1期 李素,等:群智能算法优化支持向量机参数综述 ·83· NIGDELI S M.Metaheuristics and Optimization in Civil 90 Engineering.Cham,Germany,2016:255-276. [87]CONG Yuliang,WANG Jianwei,LI Xiaolei.Traffic flow [77]SATHYA M R,ANSARI MM T.Load frequency control forecasting by a least squares support vector machine with using bat inspired algorithm based dual mode gain schedul- a fruit fly optimization algorithm[J].Procedia engineering. ing of PI controllers for interconnected power system[J]. 2016.137:59-68. International journal of electrical power and energy sys- 「88]马家辰,武冠群,马立勇,等.基于细菌觅食算法和支持 tems.2015,64:365-374. 向量机的表情识别[).计算机工程与设计,2015,36(7): 78]魏峻.一种有效的支持向量机参数优化算法[刀.计算机 1881-1885 技术与发展,2015,25(12):97-100,104 MA Jiachen,WU Guanqun,MA Liyong,et al.Facial ex- WEI Jun.An effective parameter optimization algorithm of pression recognition based on bacteria foraging algorithm support vector machine[J].Computer technology and de- and support vector machine[J].Computer engineering and velopment,2015,25(12):97-100,104. design,2015,36(7)1881-1885. [79]THARWAT A,HASSANIEN A E,ELNAGHI B E.A BA- [8]杨大炼,刘义伦,李学军,等,基于细菌觅食优化决策的 based algorithm for parameter optimization of support vec- 齿轮箱故障诊断】.中南大学学报:自然科学版,2015 tor machine[J].Pattern recognition letters,2017,93:13-22. 46(4):12241230 [80]TUBA E,TUBA M,SIMIAN D.Handwritten digit recog- YANG Dalian,LIU Yilun,LI Xuejun,et al.Gearbox fault nition by support vector machine optimized by bat al- diagnosis based on bacterial foraging algorithm optimiza- gorithm[C]//Proceedings of the 24th International Confer- tion decisions[J].Journal of Central South university:sci- ence in Central Europe on Computer Graphics,Visualiza- ence and technology,2015,46(4):1224-1230 tion and Computer Vision.2016:369-376. [90]Yang Xinshe.Flower pollination algorithm for global op- 81]XING Bing,GAN Rong,LIU Guodong,et al.Monthly timization[C]//Procedings of the 11th International Confer- mean streamflow prediction based on bat algorithm-sup- ence on Unconventional Computation and Natural Compu- port vector machine[J].Journal of hydrologic engineering, tation.Berlin,Heidelberg,Germany,2012:240-249. 2016,21(2:04015057 [91]HOANG N D,BUI D T,LIAO Kuowwei.Groutability es- [82]ZHU Guangyu,ZHANG Weibo.An improved shuffled timation of grouting processes with cement grouts using frog-leaping algorithm to optimize component pick-and- differential flower pollination optimized support vector place sequencing optimization problem[J].Expert systems machine[J].Applied soft computing,2016,45:173-186. with applications,2014,41(15):6818-6829 [92]ZHANG Wenyu,QU Zongxi,ZHANG Kequan,et al.A [83]曾燕,成新文,陈欲云.改进混合蛙跳算法在蔬菜总黄酮 combined model based on CEEMDAN and modified 软测量中的应用.计算机与应用化学,2015,32(3): flower pollination algorithm for wind speed forecasting[J]. 356-360. Energy conversion and management,2017,136:439-451. ZENG Yan,CHENG Xinwen,CHEN Yuyun.The applica- [93引王萍萍,王翰虎.一种支持向量机参数优化的GA-Pow tion of improved shuffled frog leaping algorithm in soft e1算法).计算机技术与发展,2013,232):15-18. measurement on total flavonoids of the vegetable[J].Com- WANG Pingping,WANG Hanhu.A GA-powell algorithm puters and applied chemistry,2015,32(3):356-360. for parameter optimization of support vector machine[J]. 84]PAN Wenchao.A new fruit fly optimization algorithm Computer technology and development,2013,23(2): taking the financial distress model as an example[J]. 15-18. Knowledge-based systems,2012,26:69-74. [94]耿俊豹,孙林凯,陈是学.支持向量机的混合核函数参数 [85)宁剑平,王冰,李洪儒,等.递减步长果蝇优化算法及应 优选方法[).计算机应用,2013,33(5):1321-1323,1356. 用).深圳大学学报:理工版,2014,31(4):367-373 GENG Junbao,SUN Linkai,CHEN Shixue.Parameters NING Jianping,WANG Bing,LI Hongru,et al.Research optimization of combined kernel function for support vec- on and application of diminishing step fruit fly optimiza- tor machine[J].Journal of computer applications,2013, tion algorithm[J].Journal of Shenzhen university:science 33(5:1321-1323.1356 and engineering,2014,31(4):367-373. [95]倪志伟,朱旭辉,程美英.基于人工鱼群和分形维数融合 [86]SI Lei,WANG Zhongbin,LIU Xinhua,et al.Identification SVM的空气质量预测方法[J】.模式识别与人工智能, of shearer cutting patterns using vibration signals based on 2016,2912:1122-1131. a least squares support vector machine with an improved NI Zhiwei,ZHU Xuhui,CHENG Meiying.Air quality pre- fruit fly optimization algorithm[J].Sensors,2016,16(1): diction method based on fish swarm and fractal dimensionNIGDELI S M. Metaheuristics and Optimization in Civil Engineering. Cham, Germany, 2016: 255–276. SATHYA M R, ANSARI M M T. Load frequency control using bat inspired algorithm based dual mode gain schedul￾ing of PI controllers for interconnected power system[J]. International journal of electrical power and energy sys￾tems, 2015, 64: 365–374. [77] 魏峻. 一种有效的支持向量机参数优化算法[J]. 计算机 技术与发展, 2015, 25(12): 97–100, 104. WEI Jun. An effective parameter optimization algorithm of support vector machine[J]. Computer technology and de￾velopment, 2015, 25(12): 97–100, 104. [78] THARWAT A, HASSANIEN A E, ELNAGHI B E. A BA￾based algorithm for parameter optimization of support vec￾tor machine[J]. Pattern recognition letters, 2017, 93: 13–22. [79] TUBA E, TUBA M, SIMIAN D. Handwritten digit recog￾nition by support vector machine optimized by bat al￾gorithm[C]//Proceedings of the 24th International Confer￾ence in Central Europe on Computer Graphics, Visualiza￾tion and Computer Vision. 2016: 369–376. [80] XING Bing, GAN Rong, LIU Guodong, et al. Monthly mean streamflow prediction based on bat algorithm-sup￾port vector machine[J]. Journal of hydrologic engineering, 2016, 21(2): 04015057. [81] ZHU Guangyu, ZHANG Weibo. An improved shuffled frog-leaping algorithm to optimize component pick-and￾place sequencing optimization problem[J]. Expert systems with applications, 2014, 41(15): 6818–6829. [82] 曾燕, 成新文, 陈欲云. 改进混合蛙跳算法在蔬菜总黄酮 软测量中的应用[J]. 计算机与应用化学, 2015, 32(3): 356–360. ZENG Yan, CHENG Xinwen, CHEN Yuyun. The applica￾tion of improved shuffled frog leaping algorithm in soft measurement on total flavonoids of the vegetable[J]. Com￾puters and applied chemistry, 2015, 32(3): 356–360. [83] PAN Wenchao. A new fruit fly optimization algorithm: taking the financial distress model as an example[J]. Knowledge-based systems, 2012, 26: 69–74. [84] 宁剑平, 王冰, 李洪儒, 等. 递减步长果蝇优化算法及应 用[J]. 深圳大学学报: 理工版, 2014, 31(4): 367–373. NING Jianping, WANG Bing, LI Hongru, et al. Research on and application of diminishing step fruit fly optimiza￾tion algorithm[J]. Journal of Shenzhen university: science and engineering, 2014, 31(4): 367–373. [85] SI Lei, WANG Zhongbin, LIU Xinhua, et al. Identification of shearer cutting patterns using vibration signals based on a least squares support vector machine with an improved fruit fly optimization algorithm[J]. Sensors, 2016, 16(1): [86] 90. CONG Yuliang, WANG Jianwei, LI Xiaolei. Traffic flow forecasting by a least squares support vector machine with a fruit fly optimization algorithm[J]. Procedia engineering, 2016, 137: 59–68. [87] 马家辰, 武冠群, 马立勇, 等. 基于细菌觅食算法和支持 向量机的表情识别[J]. 计算机工程与设计, 2015, 36(7): 1881–1885. MA Jiachen, WU Guanqun, MA Liyong, et al. Facial ex￾pression recognition based on bacteria foraging algorithm and support vector machine[J]. Computer engineering and design, 2015, 36(7): 1881–1885. [88] 杨大炼, 刘义伦, 李学军, 等. 基于细菌觅食优化决策的 齿轮箱故障诊断[J]. 中南大学学报: 自然科学版, 2015, 46(4): 1224–1230. YANG Dalian, LIU Yilun, LI Xuejun, et al. Gearbox fault diagnosis based on bacterial foraging algorithm optimiza￾tion decisions[J]. Journal of Central South university: sci￾ence and technology, 2015, 46(4): 1224–1230. [89] Yang Xinshe. Flower pollination algorithm for global op￾timization[C]//Procedings of the 11th International Confer￾ence on Unconventional Computation and Natural Compu￾tation. Berlin, Heidelberg, Germany, 2012: 240–249. [90] HOANG N D, BUI D T, LIAO Kuowwei. Groutability es￾timation of grouting processes with cement grouts using differential flower pollination optimized support vector machine[J]. Applied soft computing, 2016, 45: 173–186. [91] ZHANG Wenyu, QU Zongxi, ZHANG Kequan, et al. A combined model based on CEEMDAN and modified flower pollination algorithm for wind speed forecasting[J]. Energy conversion and management, 2017, 136: 439–451. [92] 王萍萍, 王翰虎. 一种支持向量机参数优化的 GA-Pow￾ell 算法[J]. 计算机技术与发展, 2013, 23(2): 15–18. WANG Pingping, WANG Hanhu. A GA-powell algorithm for parameter optimization of support vector machine[J]. Computer technology and development, 2013, 23(2): 15–18. [93] 耿俊豹, 孙林凯, 陈是学. 支持向量机的混合核函数参数 优选方法[J]. 计算机应用, 2013, 33(5): 1321–1323, 1356. GENG Junbao, SUN Linkai, CHEN Shixue. Parameters optimization of combined kernel function for support vec￾tor machine[J]. Journal of computer applications, 2013, 33(5): 1321–1323, 1356. [94] 倪志伟, 朱旭辉, 程美英. 基于人工鱼群和分形维数融合 SVM 的空气质量预测方法[J]. 模式识别与人工智能, 2016, 29(12): 1122–1131. NI Zhiwei, ZHU Xuhui, CHENG Meiying. Air quality pre￾diction method based on fish swarm and fractal dimension [95] 第 1 期 李素,等:群智能算法优化支持向量机参数综述 ·83·
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