[1] 郭伟,孙文惠,赵仁鑫,等. 呼和浩特市不同功能区土壤重金属污染特征及评价[J]. 环境科学, 2013,34(4):1561-1567.
[2] 顾继光,周启星,王新. 土壤重金属污染的治理途径及其研究进展[J]. 应用基础与工程科学学报, 2003,11(2):143-151.
[3] 李亮亮,依艳丽,凌国鑫,等. 地统计学在土壤空间变异研究中的应用[J]. 土壤通报, 2005,36(2):265-268.
[4] 姜启源. 大学数学实验[M]. 北京:清华大学出版社, 2010.
[5] 郭云开,谢琼,安冠星. 土壤重金属污染灰色综合评价模型[J]. 测绘科学, 2017,42(5):175-182.
[6] 王皙玮,王秋红,於丽华. 土壤重金属污染及对生物体影响的研究进展[J]. 中国农学通报, 2017,33(19):1-7.
[7] 孙波,周生路,赵其国. 基于空间变异分析的土壤重金属复合污染研究[J]. 农业环境科学学报, 2003,22(2):248-251.
[8] 李晓婷,刘勇,王平. 基于支持向量机的城市土壤重金属污染评价[J]. 生态环境学报, 2014,23(8):1359-1365.
[9] 祝培甜,赵中秋,陈勇,等. 江苏省某镇土壤重金属污染评价[J]. 环境工程学报, 2017,11(4):2535-2541.
[10]王博,夏敦胜,余晔,等. 兰州城市表层土壤重金属污染的环境磁学记录[J]. 科学通报, 2012,57(32):3078-3089.
[11]FRIEDMAN J, TURKEY J W. A projection pursuit algorithm for exploratory data analysis[J]. IEEE Transactions on Computer, 1974,23(9):881-890.
[12]王顺久,张欣莉,丁晶,等. 投影寻踪聚类模型及其应用[J]. 长江科学院院报, 2002,19(6):53-55.
[13]EUSUFF M, LANSEY K E. Optimization of water distribution network design using the shuffled frog leaping algorithm[J]. Water Resources Planning and Management, 2003,129(3):210-225.
[14]SAMUEL G G, RAJAN C C A. Hybrid: Particle swarm optimization-genetic algorithm and particle swarm optimization-shuffled frog leaping algorithm for long-term generator maintenance scheduling[J]. International Journal of Electrical Power and Energy Systems, 2015,65:432-442.
[15]LUO J P, CHEN M R. Improved shuffled frog leaping algorithmand its multi-phase model for multi-depot vehicle routing problem[J]. Expert Systems with Applications, 2014,41(5):2535-2545.
[16]MAHMOUDI N, OROUJI H, FALLAH-MEHDIPOUR E. Integration of shuffled frog leaping algorithm and support vector regression for prediction of water quality parameters[J]. Water Resouces Management, 2016,30(7):2195-2211.
[17]ROYA P, ROY P, CHAKRABARTI A. Modified shuffled frog leaping algorithm with genetic algorithm crossover for solving economic load dispatch problem with valve-point effect[J]. Applied Soft Computing, 2013,13(11):4244-4252.
[18]ZHANG X K, DING S F, SUN T F. Multi-class LSTM SVM based on optimal directed acyclic graph and shuffled frog leaping algorithm[J]. International Journal of Machine Learning & Cybernetics, 2016,7(2):241-251.
[19]TONG X Q, JI Y J, LIN J, et al. Cooperative spectrum sensing based on a modified shuffled frog leaping algorithm in 5G network[J]. Physical Communication, 2017,25(2):438-444.
[20]DASH R. An improved shuffled frog leaping algorithm based evolutionary framework for currency exchange rate prediction[J]. Physica A, 2017,486:782-796.
[21]EDLA D R, LIPARE A, CHERUKU R. An efficient load balancing of gateways using improved shuffled frog leaping algorithm and novel fitness function for WSNs[J]. IEEE Sensors Journal, 2017,20:6724-6733.
[22]DAI Y Q, BIN H, SU Y, et al. Feature selection of high-dimensional biomedical data using improved SFLA for disease diagnosis[C]// 2015 IEEE International Conference on Bioinformatics and Biomedicine. 2015:458-463.
[23]王利东,李朝奎,李吟. 基于地统计学模型的惠州市土壤重金属污染评价[J]. 矿业工程研究, 2011,26(1):65-70.
[24]冯红刚,王李管,毕林. 基于DIMINE软件的三维可视化技术及其工程应用[J]. 矿业工程研究, 2010,25(3):7-10. |