Barton, N., Lien, R., Lunde, J. (1974), "Engineering classification of rock masses for the design of tunnel support", Rock Mechanics, Vol. 6, No. 4, pp. 189-236.10.1007/BF01239496
Bieniawski, Z.T. (1973), "Engineering classification of jointed rock masses", The Civil Engineer in South Africa, Vol. 15, No. 12, pp. 335-343.
Hochreiter, S., Schmidhuber, J. (1997), "Long short-term memory", Neural Computation, Vol. 9, No. 8, pp. 1735-1780.10.1162/neco.19126.96.36.19959377276
Jung, J.H., Kim, B.K., Chung, H.Y., Kim, H.M., Lee, I.M. (2019), "A ground condition prediction ahead of tunnel face utilizing time series analysis of shield TBM data in soil tunnel", Journal of Korean Tunnelling and Underground Space Association, Vol. 21, No. 2, pp. 227-242.
Kim, H.M., Lee, I.M., Hong, C.H. (2019a), "Effect of RMR and rock type on tunnel drilling speed", Journal of Korean Tunnelling and Underground Space Association, Vol. 21, No. 4, pp. 561-571.
Kim, H.Y., Cho, L.H., Kim, K.S. (2019b), "Rock classification prediction in tunnel excavation using CNN", Journal of the Korean Geotechnical Society, Vol. 35, No. 9, pp. 37-45.
Kim, K.S., Kim, J.H., Jeong, L.C., Lee, I.M., Cho, G.C. (2015), "Development for prediction system of TBM tunnel face ahead using probe drilling equipment and drilled hole imaging equipment", Journal of Korean Tunnelling and Underground Space Association, Vol. 17, No. 3, pp. 393-401.10.9711/KTAJ.2015.17.3.393
Ryu, H.H., Oh, T.M., Cho, G.C., Kim, K.Y., Lee, K.R., Lee, D.S. (2014), "Probabilistic relationship between Q-value and electrical Resistivity", KSCE Journal of Civil Engineering, Vol. 18, No. 3, pp. 780-786.10.1007/s12205-014-0339-z
Zhang, S., Bamakan, S.M.H., Qu, Q., Li, S. (2018), "Learning for personalized medicine: A comprehensive review from a deep learning perspective", IEEE Reviews in Biomedical Engineering, Vol. 12, pp. 194-208.10.1109/RBME.2018.286425430106692
Zhao, H., Chen, Z., Jiang, H., Jing, W., Sun, L., Feng, M. (2019), "Evaluation of three deep learning models for early crop classification using sentinel-1A imagery time series-A case study in Zhanjiang, China", Remote Sensing, Vol. 11, No. 22, pp. 2673.10.3390/rs11222673
- Publisher :Korean Tunneling and Underground Space Association
- Publisher(Ko) :한국터널지하공간학회
- Journal Title :Journal of Korean Tunnelling and Underground Space Association
- Journal Title(Ko) :한국터널지하공간학회 논문집
- Volume : 22
- No :3
- Pages :239-248
- Received Date :2020. 04. 14
- Revised Date :2020. 05. 04
- Accepted Date : 2020. 05. 07