Acknowledgement
Supported by : 부산대학교
References
- Moon, H.Y, Choi, Y.W. (1998). The Effect of Ground Granulated Blast-Furnace Slag on the Control of Temperature Rising in High Strength Concrete. Journal of the Korea Concrete Institute, 10(4), pp.195-204.
- Lee, S.U. (2008). The Effect of High Strength Concrete by Admixture Types and Mixture Condition [master's thesis]. Dae Jeon University. Korea.
- Bae, S.K. (2003). Compressive Strength of High-Strength Concrete for the Mix Proportion [master's thesis]. In Ha University. Korea.
- Yoo, S.Y, Lee, S.L, Koo, J.S, Kang, S.H. (2010). High Strength Concrete Mix Design Program and Ultra High Strength Concrete Ready-mixed Concrete Manufacturing Technology Development. Journal of Korea Cement Association, 185(1), pp.28-35.
- Kim, K.H., An, S.H., Cho, H.G. (2006). Comparison of the Accuracy between Cost Prediction Models based on Neural Network and Genetic Algorithm-Focused on Apartment Housing Project Cost. Journal of Architectural Institute of Korea, 22(3), pp.111-118.
- Lee, Y.J. (2008). A study on the mix design model of 60MPa class high strength concrete using neural network theory [master's thesis]. Pusan National University. Korea.
- Kim, S.Y., Ji, N.Y., Yoon, S.C. (2007). Compressive Strength of High-Strength Concrete using Fly Ash on the Basis of Statistical Analysis. Journal of Architectural Institute of Korea, 23(1), pp.113-121.
- Kim, C.H. (2007). Study on the High-Strength of High Flowing Concrete using Fly Ash [master's thesis], Dong Yang University. Korea.
- Ozbay, E., Ahmet, O., Adil, B., Hakan, O. (2009). Invetigating Mix Proportions of High Strength Self Compacting Concrete by using Taguchi Method. Construction and Building Materials, 3(2), pp.694-702.
- Williams, P., Trefor, P. (1991). Predicting changes in construction cost indexes using neural networks. Journal of construction engineering and management, 117(4), pp. 606-625. https://doi.org/10.1061/(ASCE)0733-9364(1991)117:4(606)