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Mathematical Problems in Engineering
Volume 2015, Article ID 606707, 6 pages
Research Article

An Optimized Grey GM(2,1) Model and Forecasting of Highway Subgrade Settlement

Ning Xu1 and Yao-guo Dang1,2,3

1College of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing 211100, China
2Institute of Grey System Study, Nanjing 211100, China
3Jiangsu Center of Post Evaluation, Nanjing 211100, China

Received 27 July 2014; Accepted 28 December 2014

Academic Editor: Haipeng Peng

Copyright © 2015 Ning Xu and Yao-guo Dang. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [4 citations]

The following is the list of published articles that have cited the current article.

  • R Subham Kumar, G S Ganesh, N Vijayarangan, K Padmanabhan, B Satish, and Alok Kumar, “Machine Learning Grey Model for Prediction,” 2017 International Conference on Computational Science and Computational Intelligence (CSCI), pp. 799–804, . View at Publisher · View at Google Scholar
  • Qianmi Yu, Jiankun Liu, Ujwalkumar D. Patil, and Anand J. Puppala, “New Approach for Predicting Particle Breakage of Granular Material Using the Grey System Theory,” Journal of Materials in Civil Engineering, vol. 30, no. 9, pp. 04018210, 2018. View at Publisher · View at Google Scholar
  • Liwei Tang, and Yayun Lu, “The optimization of GM(2, 1) model based on parameter estimation of grade difference format,” Xitong Gongcheng Lilun yu Shijian/System Engineering Theory and Practice, vol. 38, no. 2, pp. 502–508, 2018. View at Publisher · View at Google Scholar
  • Haiming Liu, Wei Guo, Chao Zhang, and Huaihao Yang, “Research on the Grey Verhulst Model Based on Particle Swarm Optimization and Markov Chain to Predict the Settlement of High Fill Subgrade in Xiangli Expressway,” Mathematical Problems in Engineering, vol. 2019, pp. 1–10, 2019. View at Publisher · View at Google Scholar