| 期刊論文1. | Wolpert, D.-H.、Macready, W.-G.(1997)。No free lunch theorems for optimization。IEEE Transactions on Evolutionary Computation,1(1),67-82。 | 2. | Chi, N. W.、Wang, J. P.、Liao, J. H.、Cheng, W. C.、Chen, C. S.(2020)。Machine learning-based seismic capability evaluation for school buildings。Automation in Construction,118。 | 3. | Breiman, Leo(2001)。Random Forests。Machine Learning,45(1),5-32。 | 4. | Fang, Q.、Li, H.、Luo, X.、Ding, L.、An, W.、Luo, H.、Rose, T. M.(2018)。Detecting non-hardhat-use by a deep learning method from far-field surveillance videos。Automation in Construction,85,1-9。 | 5. | Salehi, H.、Burgueno, R.(2018)。Emerging artificial intelligence methods in structural engineering。Engineering Structures,171,170-189。 | 6. | Mitchell, T. M.(1997)。Does machine learning really work?。AI Magazine,18(3),11-20。 | 7. | Flah, M.、Nunez, I.、Chaabene, W. B.、Nehdi, M. L.(2021)。Machine learning algorithms in civil structural health monitoring: A systematic review。Archives of Computational Methods in Engineering,28(4),2621-2643。 | 8. | Amezquita-Sanchez, J. P.、Adeli, H.(2015)。Synchrosqueezed wavelet transform-fractality model for locating, detecting, and quantifying damage in smart highrise building structures。Smart Materials and Structures,24(6)。 | 9. | Chang, C. M.、Lin, T. K.、Chang, C. W.(2018)。Applications of neural network models for structural health monitoring based on derived modal properties。Measurement,129,457-470。 | 10. | Kang, F.、Li, J.、Dai, J.(2019)。Prediction of long-term temperature effect in structural health monitoring of concrete dams using support vector machines with Jaya optimizer and salp swarm algorithms。Advances in Engineering Software,131,60-76。 | 11. | Adeli, H.、Yeh, C.(1989)。Perceptron Learning in Engineering Design。Microcomputer in Civil Engineering,,4(4),247-256。 | 12. | Wilmot, C. G.、Mei, B.(2005)。Neural network modeling of highway construction costs。Journal of Construction Engineering and Management,131(7),765-771。 | 13. | Petroutsatou, K.、Georgopoulos, E.、Lambropoulos, S.、Pantouvakis, J. P.(2012)。Early cost estimating of road tunnel construction using neural networks。Journal of Construction Engineering and Management,138(6),679-687。 | 14. | Marzouk, M.、Amin, A.(2013)。Predicting construction materials prices using fuzzy logic and neural networks。Journal of Construction Engineering and Management,139(9),1190-1198。 | 15. | Jafarzadeh, R.、Ingham, J. M.、Wilkinson, S.、Gonzalez, V.、Aghakouchak, A. A.(2014)。Application of artificial neural network methodology for predicting seismic retrofit construction costs。Journal of Construction Engineering and Management,140(2)。 | 16. | Ayhan, B. U.、Tokdemir, O. B.(2020)。Accident analysis for construction safety using latent class clustering and artificial neural networks。Journal of Construction Engineering and Management,146(3)。 | 17. | Pereira, E.、Ali, M.、Wu, L.、Abourizk, S.(2020)。Distributed simulation-based analytics approach for enhancing safety management systems in industrial construction。Journal of Construction Engineering and Management,146(1)。 | 18. | Bai, L.、Wang, Z.、Wang, H.、Huang, N.、Shi, H.(2021)。Prediction of multiproject resource conflict risk via an artificial neural network。Engineering, Construction and Architectural Management,28(10),2857-2883。 | 19. | Park, J. K.、Hossain, S.、Oh, J.、Yoo, H.、Kim, H.(2020)。Assessment of risk potential due to underground box structure installation employing ANN model and field experimental approaches。Journal of Performance of Constructed Facilities,34(4)。 | 20. | Murugan, S. B.、Sundar, M. L.(2017)。Investigate safety and quality performance at construction site using artificial neural network。Journal of Intelligent & Fuzzy Systems,33(4),2211-2222。 | 21. | Butcher, J. B.、Day, C. R.、Austin, J. C.、Haycock, P. W.、Verstraeten, D.、Schrauwen, B.(2014)。Defect detection in reinforced concrete using random neural architectures。Computer-Aided Civil and Infrastructure Engineering,29(3),191-207。 | 22. | Gawehn, E.、Hiss, J. A.、Schneider, G.(2016)。Deep learning in drug discovery。Molecular informatics,35(1),3-14。 | 23. | 范慶龍(20210500)。監督式機器學習於土地覆蓋分類效益之研究。臺灣土地研究,24(1),67-94。 延伸查詢 | 24. | Lin, C. L.、Fan, C. L.(2019)。Evaluation of CART, CHAID, and QUEST algorithms: A case study of construction defects in Taiwan。Journal of Asian Architecture and Building Engineering,18(6),539-553。 | 25. | Athanasiou, A.、Ebrahimkhanlou, A.、Zaborac, J.、Hrynyk, T.、Salamone, S.(2020)。A machine learning approach based on multifractal features for crack assessment of reinforced concrete shells。Computer-Aided Civil and Infrastructure Engineering,35(6),565-578。 | 26. | Kriegeskorte, N.(2015)。Deep neural networks: A new framework for modeling biological vision and brain information processing。Annual Review of Vision Science,1,417-446。 | 27. | Ghassemieh, M.、Nasseri, M.(2012)。Evaluation of stiffened end-plate moment connection through optimized artificial neural network。Journal of Software Engineering and Applications,5(3),156-167。 | 28. | Fan, C. L.(2020)。Defect risk assessment using a hybrid machine learning method。Journal of Construction Engineering and Management,146(9)。 | 29. | Fan, C. L.(2021)。Detection of multidamage to reinforced concrete using support vector machine-based clustering from digital images。Structural Control and Health Monitoring,28(12)。 | 30. | Wang, Y.、Wang, Z.(2019)。A survey of recent work on fine-grained image classification techniques。Journal of Visual Communication and Image Representation,59,210-214。 | 31. | Hegde, J.、Rokseth, B.(2020)。Applications of machine learning methods for engineering risk assessment--A review。Safety Science,122。 | 32. | Chae, M. J.、Abraham, D. M.(2001)。Neuro-fuzzy approaches for sanitary sewer pipeline condition assessment。Journal of Computing in Civil Engineering,15(1),4-14。 | 33. | Sinha, S. K.、Fieguth, P. W.(2006)。Neuro-fuzzy network for the classification of buried pipe defects。Automation in Construction,15(1),73-83。 | 34. | Syachrani, S.、Jeong, H. S.、Chung, C. S.(2013)。Decision tree-based deterioration model for buried wastewater pipelines。Journal of Performance of Constructed Facilities,27(5),633-645。 | 35. | Amadore, A.、Bosurgi, G.、Pellegrino, O.(2014)。Classification of measures from deflection tests by means of fuzzy clustering techniques。Construction and Building Materials,53,173-181。 | 36. | Cheng, Y.、Yu, W. D.、Li, Q.(2015)。GA‐based multi-level association rule mining approach for defect analysis in the construction industry。Automation in Construction,51,78-91。 | 37. | Lee, S.、Han, S.、Hyun, C.(2016)。Analysis of causality between defect causes using association rule mining。International Journal of Civil, Environmental, Structural, Construction and Architectural Engineering,10(5),654-657。 | 38. | Elmasry, M.、Zayed, T.、Hawari, A.(2017)。Defect based deterioration model for sewer pipelines using Bayesian belief networks。Canadian Journal of Civil Engineering,44(9),675-690。 | 39. | Gui, G.、Pan, H.、Lin, Z.、Li, Y.、Yuan, Z.(2017)。Data-driven support vector machine with optimization techniques for structural health monitoring and damage detection。KSCE Journal of Civil Engineering,21,523-534。 | 40. | Lin, C. L.、Fan, C. L.(2018)。Examining association between construction inspection grades and critical defects using data mining and fuzzy logic。Journal of Civil Engineering and Management,24(4),301-317。 | 41. | Chen, Y.、Jiang, H.、Li, C.、Jia, X.、Ghamisi, P.(2016)。Deep feature extraction and classification of hyperspectral images based on convolutional neural networks。IEEE Transactions on Geoscience and Remote Sensing,54(10),6232-6251。 | 42. | Mostafa, K.、Hegazy, T.(2021)。Review of image-based analysis and applications in construction。Automation in Construction,122。 | 43. | Akinosho, T. D.、Oyedele, L. O.、Bilal, M.、Ajayi, A. O.、Delgado, M. D.、Akinade, O. O.、Ahmed, A. A.(2020)。Deep learning in the construction industry: A review of present status and future innovations。Journal of Building Engineering,32。 | 44. | Angah, O.、Chen, A. Y.(2020)。Tracking multiple construction workers through deep learning and the gradient based method with re-matching based on multi-object tracking accuracy。Automation in Construction,119。 | 會議論文1. | Cheng, H. D.(1996)。Automated real-time pavement distress detection using fuzzy logic and neural network140-151。 | 圖書1. | Vapnik, V. N.(1995)。The Nature of Statistical Learning Theory。Springer-Verlag。 | 2. | Mohri, M.、Rostamizadeh, A.、Talwalkar, A.(2012)。Foundations of Machine Learning。The MIT Press。 | 3. | Goodfellow, I.、Bengio, Y.、Courville, A.(2016)。Deep Learning。MIT Press。 | 4. | Farrar C. R.、Worden, K.(2012)。Structural Health Monitoring: A Machine Learning Perspective。Wiley。 | |