Author:
Guo Jian-Xia,Hu Chang-Ming,Bao Rong
Publisher
Springer Science and Business Media LLC
Subject
Civil and Structural Engineering
Reference44 articles.
1. Adamowski, J. and Chan, H. F. (2011). “A wavelet neural network conjunction model for groundwater level forecasting.” Journal of Hydrology, Elsevier, Vol. 407, Nos. 1–4, pp. 28–40, DOI:
https://doi.org/10.1016/j.jhydrol.2011.06.013
.
2. Ameyaw, C., Mensah, S., and Arthur, Y. D. (2012). “Applicability of Bromilow’s time-cost model on building projects in Ghana.” Proc. 4th West Africa Buil Environment Research Conference, Abuja, Nigeria, pp. 881–888.
3. Araghi, A., Mousavi-Baygi, M., Adamowski, J., Martinez, C., and Ploeg, M. (2017). “Forecasting soil temperature based on surface air temperature using a wavelet artificial neural network.” Meteorological Applications, Wiley, Vol. 24, No. 4, pp. 603–611, DOI:
https://doi.org/10.1002/met.1661
.
4. Attalla, M. and Hegazy, T. (2003). “Predicting cost deviation in reconstruction projects: Artificial neural networks versus regression.” Journal of Construction Engineering Management, ASCE, Vol. 129, No. 4, pp. 405–411, DOI:
https://doi.org/10.1061/(ASCE)0733-9364(2003)129:4(405)
.
5. Bayram, S. (2016). “Duration prediction models for construction projects: In terms of cost or physical characteristics.” KSCE Journal of Civil Engineering, KSCE, Vol. 21, No. 6, pp. 1–12, DOI:
https://doi.org/10.1007/s12205-016-0691-2
.
Cited by
5 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献