EDP Sciences logo
Web of Conferences logo
Search
Menu
All issues Volume 173 (2018) MATEC Web Conf., 173 (2018) 03004 References
Open Access
Issue
MATEC Web Conf.
Volume 173, 2018
2018 International Conference on Smart Materials, Intelligent Manufacturing and Automation (SMIMA 2018)
Article Number 03004
Number of page(s) 6
Section Digital Signal and Image Processing
DOI https://doi.org/10.1051/matecconf/201817303004
Published online 19 June 2018
  1. Hao Qing. The Study on Financial Early-Warning for Listed Manufacturing Companies Based on BP Neural Network Optimized by Genetic Algorithm [D]. Hebei University,2014.6. [Google Scholar]
  2. Zhai Shen-yu. Research on Enterprise Financial Early Warning Of BP Neural Network Optimized By Modified HS algorithm.[D].JiLin University,2016.6. [Google Scholar]
  3. Zhan Jian-hua.The Research on Financial Early-Warning of Listed Companies Based on NRS-PSOBP Network[D].Shandong University of Financial and Economies,2012.4. [Google Scholar]
  4. Pan X T, Qu K Q. Wind Power Output Prediction with BP Neural Network Combining Genetic Algorithms[C]//Advanced Materials Research. Trans Tech Publications,2014, 860: 2526-252. [Google Scholar]
  5. Movahedi M, Kokabi A H, Reihani S M S, et al. Prediction and optimization of back-break and rock fragmentation using an artificial neural network and a bee colony algorithm[J].Bulletin of Engineering Geology & the Environment, 2016,75(1):27-36. [CrossRef] [Google Scholar]
  6. Wang gai-ge, Guo Li-hong, Duan Hong. Target threat assessment using glowworm swarm optimization and BP neural network[J]. Journal of Jinlin University(Engineering and Technology Edition), 2013,43(4):1064-1069. [Google Scholar]
  7. Liu Qing-hua, Ding Wen-tao, Tu Juan-juan et.al. Improved BP_AdaBoost Algorithm and its Application in Traffic Incident Detection[J]. JOURNAL OF TONGJI UNIVERSITY(NATURAL SCIENCE,2015,43(12):1829-1833. [Google Scholar]
  8. Geem Z W,Kim J H, Loganathan G V. A new heuristic optimization algorithm: Harmony search[J].Simulation,2001, 76(2): 60-68. [CrossRef] [Google Scholar]
  9. Geem Z W.Optimal cost design of water distribution networks using harmony search[J]. Eng Optimiz, 2006,38(3): 259-280. [CrossRef] [Google Scholar]
  10. Kang S L, Geem Z W. A new structural optimization method based on the harmony search algorithm[J].Comput Struct, 2004, 82(9/10): 781-798. [CrossRef] [Google Scholar]
  11. Kang S L, Geem Z W. A new meta-heuristic algorithm for continuous engineering optimization: harmony search theory and practice[J]. Computer Methods in Applied Mechanics and Engineering, 2005, 194: 3902-3933. [CrossRef] [Google Scholar]
  12. Geem Z W, Tseng C, Park Y. Harmony search for generalized orienteering problem: best touring in China[J].Springer Lecture Notes in Computer Science, 2005, 3412:741-750. [Google Scholar]
  13. Zhou Ya-lan, Huang Tao. Modifications and Applications of Harmony Search Algorithm[J]. Computer Science,2014,41(6):52-57. [Google Scholar]
  14. Mahdav M, Fesangharym,Damangir E. Animprovedharmonysearchalgorithmfor solvingoptimizationproblems[J].AppliedMathematicsandComputation.2007,188(2):1567-1579. [Google Scholar]
  15. Omran,Mahdavi M.Global-best harmony search[J].Applied Mathematics and Computation.2008,198(2):643-656. [CrossRef] [MathSciNet] [Google Scholar]
  16. Shi L, Tang X, Lv J. PCA-based PSO-BP neural network optimization algorithm[C]//The 27th Chinese Control and Decision Conference (2015 CCDC). IEEE, 2015: 1720-1725. [CrossRef] [Google Scholar]
  17. Wang Pei-chong, Li Li-rong, Gao Wen-chao,et.al. Hybrid Reverse Learning Artificial Fish School Algorithm Using Good Point Set [J]. Application Research of Computers, 2015, 32(7):1992-1995. [Google Scholar]
  18. Liu Xiang-pin, Xuan Shi-bin, Liu Feng. Artificial bee colony algorithm which introduces the good point set and the monkey group turn process [J]. Pattern Recognition and Artificial Intelligence, 2015, 28(1):80-89. [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.