[1]彭昱忠,元昌安,李洁,等.个体最优共享GEP算法及其气象降水数据预测建模[J].智能系统学报编辑部,2016,11(3):401-409.[doi:10.11992/tis.201603035]
 PENG Yuzhong,YUAN Changan,LI Jie,et al.Individual optimal sharing GEP algorithm and its application in forecast modeling of meteorological precipitation[J].CAAI Transactions on Intelligent Systems,2016,11(3):401-409.[doi:10.11992/tis.201603035]
点击复制

个体最优共享GEP算法及其气象降水数据预测建模

参考文献/References:
[1] 彭昱忠, 王谦, 元昌安, 等. 数据挖掘技术在气象预报研究中的应用[J]. 干旱气象, 2015, 33(1): 19-27. PENG Yuzhong, WANG Qian, YUAN Chang’an, et al. Review of research on data mining in application of meteorological forecasting[J]. Journal of arid meteorology, 2015, 33(1): 19-27.
[2] 金龙, 吴建生, 林开平, 等. 基于遗传算法的神经网络短期气候预测模型[J]. 高原气象, 2005, 24(6): 981-987. JIN Long, WU Jiansheng, LIN Kaiping, et al. Short-term climate prediction model of neural network based on genetic algorithms[J]. Plateau meteorology, 2005, 24(6): 981-987.
[3] EL-SHAFIE A, JAAFER O, AKRAMI S A. Adaptive neuro-fuzzy inference system based model for rainfall forecasting in Klang River, Malaysia[J]. International journal of the physical sciences, 2011, 6(12): 2875-2885.
[4] GOSAV S, TIRON G. Artificial neural networks built for the rainfall estimation using a concatenated database[J]. Environmental engineering and management journal, 2012, 11(8): 1383-1388.
[5] VENKADESH S, HOOGENBOOM G, POTTER W, et al. A genetic algorithm to refine input data selection for air temperature prediction using artificial neural networks[J]. Applied soft computing, 2013, 13(5): 2253-2260.
[6] RAHMAN M, SAIFUL ISLAM A H M, NADVI S Y M, et al. Comparative study of ANFIS and ARIMA model for weather forecasting in Dhaka[C]//Proceedings of IEEE international conference on informatics, electronics & vision. Dhaka, Bangladesh, 2013: 1-6.
[7] ZHAO Huasheng, JIN Long, HUANG Ying, et al. An objective prediction model for typhoon rainstorm using particle swarm optimization: neural network ensemble[J]. Natural hazards, 2014, 73(2): 427-437.
[8] HE Suhong, FENG Taichen, GONG Yanchun, et al. Predicting extreme rainfall over eastern Asia by using complex networks[J]. Chinese physics B, 2014, 23(5): 059202.
[9] WU Jiansheng, LONG Jin, LIU Mingzhe. Evolving RBF neural networks for rainfall prediction using hybrid particle swarm optimization and genetic algorithm[J]. Neurocomputing, 2015, 148: 136-142.
[10] DHANYA C T, KUMAR D N. Data mining for evolving fuzzy association rules for predicting monsoon rainfall of India[J]. Journal of intelligent systems, 2009, 18(3): 193-210.
[11] TERZI O. Monthly rainfall estimation using data-mining process[J]. Applied computational intelligence and soft computing, 2012, 2012: 698071.
[12] BERNARD E, NAVEAU P, VRAC M, et al. Clustering of maxima: spatial dependencies among heavy rainfall in France[J]. Journal of climate, 2013, 26(20): 7929-7937.
[13] TENG Shaohua, FAN Jihui, ZHU Haibin, et al. A cooperative multi-classifier method for local area meteorological data mining[C]//Proceedings of the 18th IEEE International Conference on Computer Supported Cooperative Work in Design. Hsinchu, Taiwan, China, 2014: 435-440.
[14] FERREIRA C. Gene expression programming: mathematical modeling by artificial intelligence[M]. Portugal: Angra do Heroismo, 2002: 1-15.
[15] 胡建军, 唐常杰, 段磊, 等. 基因表达式编程初始种群的多样化策略[J]. 计算机学报, 2007, 30(2): 305-310.HU Jianjun, TANG Changjie, DUAN Lei, et al. The strategy for diversifying initial population of gene expression programming[J]. Chinese journal of computers, 2007, 30(2): 305-310.
[16] 李太勇, 唐常杰, 吴江, 等. 基因表达式编程种群多样性自适应调控算法[J]. 电子科技大学学报, 2010, 39(2): 279-283. LI Taiyong, TANG Changjie, WU Jiang, et al. Adaptive population diversity tuning algorithm for gene expression programming[J]. Journal of university of electronic science and technology of China, 2010, 39(2): 279-283.
[17] 宣士斌, 刘怡光. 基于混合差异度控制的基因表达式编程[J]. 模式识别与人工智能, 2012, 25(2): 186-194. XUAN Shibin, LIU Yiguang. GEP evolution algorithm based on control of mixed diversity degree[J]. Pattern recognition & artificial intelligence, 2012, 25(2): 186-194.
[18] TANG Changjie, DUAN Lei, PENG Jing, et al. The strategies to improve performance of function mining by gene expression programming: genetic modifying, overlapped gene, backtracking and adaptive mutation[C]//Proceedings of the 17th Data Engineering Workshop. Ginowan, Japan, 2006: 100-106.
[19] BAUTU E, BAUTU A, LUCHIAN H. AdaGEP-an adaptive gene expression programming algorithm[C]//Proceedings of IEEE International Symposium on Symbolic and Numeric Algorithms for Scientific Computing. Timisoara, Romania, 2007: 403-406.
[20] 元昌安, 唐常杰, 左劼, 等. 基于基因表达式编程的函数挖掘-收敛性分析与残差制导进化算法[J]. 四川大学学报:工程科学版, 2004, 36(6): 100-105. YUAN Changan, TANG Changjie, ZUO Jie, et al. Function mining based on gene expression programming-convergency analysis and remnant-guided evolution algorithm[J]. Journal of Sichuan university :engineering science edition, 2004, 36(6): 100-105.
[21] RYAN N, HIBLER D. Robust gene expression programming[J]. Procedia computer science, 2011, 6: 165-170.
[22] ZHONG Jinghui, ONG Y S, CAI Wentong. Self-learning gene expression programming[J]. IEEE transactions on evolutionary computation, 2016, 20(1): 65-80.
[23] 张鑫源, 胡晓敏, 林盈. 遗传算法和粒子群优化算法的性能对比分析[J]. 计算机科学与探索, 2014, 8(1): 90-102.ZHANG Xinyuan, HU Xiaomin, LIN Ying. Comparisons of genetic algorithm and particle swarm optimization[J]. Journal of frontiers of computer science and technology, 2014, 8(1): 90-102.
[24] 陈宇, 唐常杰, 钟义啸, 等. 基于基因表达式编程和时变强度的时间序列预测[J]. 计算机科学, 2005, 32(7 Suppl. B): 269-271. CHEN Yu, TANG Changjie, ZHONG Yixiao, et al. Time series predication based on gene expression programming and time series vibration intensity[J]. Computer science, 2005, 32(7 Suppl. B): 269-271.
相似文献/References:
[1]钱晓山,阳春华.改进基因表达式编程在股票中的研究与应用[J].智能系统学报编辑部,2010,5(4):303.
 QIAN Xiao-shan,YANG Chun-hua.Improved gene expression programming algorithm tested by predicting stock indexes[J].CAAI Transactions on Intelligent Systems,2010,5():303.
[2]钱晓山,阳春华.基于GEP的最小二乘支持向量机模型参数选择[J].智能系统学报编辑部,2012,7(3):225.
 QIAN Xiaoshan,YANG Chunhua.A parameter selection method of a least squares support vector machine based on gene expression programming[J].CAAI Transactions on Intelligent Systems,2012,7():225.

备注/Memo

收稿日期:2016-3-18;改回日期:。
基金项目:国家自然科学基金项目(61562008、41575051);广西科学研究与技术开发计划项目(1598019-1)、广西高校科学技术研究重点项目(ZD2014083).
作者简介:彭昱忠,男,1980年生,副教授,主要研究方向为智能计算及数据挖掘。主持国家级和省级基金项目4项,发表学术论文21篇。元昌安,男,1964年生,教授,主要研究方向为数据库与知识工程,先后主持国家级和省级基金项目8项,获广西科技进步奖5项,发表学术论文58篇。李洁,女,1980年生,讲师,主要研究方向为智能计算及数据挖掘,发表学术论文7篇。
通讯作者:李洁.E-mail:lijie980522@163.com.

更新日期/Last Update: 1900-01-01
Copyright @ 《 智能系统学报》 编辑部
地址:(150001)黑龙江省哈尔滨市南岗区南通大街145-1号楼 电话:0451- 82534001、82518134