Acknowledgement
Supported by : 한국연구재단
References
- Kim, B. (2016). Artificial intelligence and trend analysis of national policy recommendations, ICT Policy, 23(1), 74-93
- Jang, P. (2016). 2016 Davos Forum, Overseas innovation trend, 12-15.
- Ministry of Science, ICT and Future Planning(2016), Intelligent Information Industry Development Strategy.
- Ministry of Science, ICT and Future Planning(2016), Brain Science Development Strategy.
- Jang, W. (2016). Domestic artificial intelligence-based industrial inspection, Hyundai Research Institute, 16(8).
- McCarthy, J., Minsky, M., Rochester, N., & Shannon, C.E. (1956). "A Proposal for the Dartmouth Summer Research Project on Artificial Intelligence".
- Nilsson, J. (1998). Artificial Intelligence: A New Synthesis, Morgan Kaufmann Publishers.
- Eugene, C. (1985). Introduction to Artificial Intelligence, Addison Wesley Publishing Company, 1st edition.
- Patrick, H. W. (1993). Artificial Intelligence, Addison Wesley Publishing Company, 3rd edition.
- Marvin, M. (1961). Steps toward Artificial Intelligence, Proceedings of the IRE, pp. 49.
- Rob, C. (2003). Artificial Intelligence, Palgrave Macmillan.
- Gartner. (2016). Artificial Intelligence (AI), IT Glossary.
- Technavio. (2014). Global smart machines market 2014-2018, Robotics.
- Moon, J. (2015). The introduction of artificial intelligence theory, Korean Institute of Architectural Sustainable Environment and Building Systems, 9(4), 79-80.
- Lee, S., Jung, S., Lee, W., & Park, K. (2011). A Predictive Model for Urban Temperature using the Artificial Neural Network, Korea Planners Association, 46(1), 129-142
- LeCun, Yann, Yoshua, Bengio, & Hinton, G. (2015). Deep learning, Nature 521(7553), 436-444. https://doi.org/10.1038/nature14539
- Bengio, Yoshua, Aaron, C., & Pascal, V. (2013). Representation learning: A review and new perspectives, IEEE transactions on pattern analysis and machine intelligence, 35(8), 1798-1828. https://doi.org/10.1109/TPAMI.2013.50
- Jurgen, S. (2015). Deep learning in neural networks: An overview, Neural Networks, 61, 85-117. https://doi.org/10.1016/j.neunet.2014.09.003
- Ahn, S. (2016). Deep Learning Architectures and Applications, Journal of Intelligence and Information Systems, 22(2), 127-142. https://doi.org/10.13088/jiis.2016.22.2.127
- Moon, J., Jeong, Y., Seo, Y., & Ahn, H. (2014). Comparative analysis on the thermal control performance of the different application level of artificial network-based methods for the double skin envelope building, Korea Institute of Ecological Architecture and Environment, 14(2), 84-85.
- Moon, J., & Kim, J. (2010). ANN-based thermal control models for residential buildings, Building and Environment, 45(7), 1612-1625. https://doi.org/10.1016/j.buildenv.2010.01.009
- Holland, J. H. (1975). Adaptation in natural and artificial systems, The University of Michigan Press.
- Hong, S. & Cho, Y. (2010). A Study on Unit Remodeling Space Optimization Using Genetic Algorithm, 26(7), 119-126.
- Burges, C. (1998). A Tutorial on Support Vector Machines for Pattern Recognition, Knowledge Discovery and Data Mining, 2(2).