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題名:人工智慧於土木工程應用之回顧
書刊名:黃埔學報
作者:范慶龍
作者(外文):Fan, Ching-lung
出版日期:2022
卷期:82
頁次:頁41-57
主題關鍵詞:人工智慧機器學習深度學習土木工程Artificial intelligenceMachine learningDeep learningCivil engineering
原始連結:連回原系統網址new window
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  • 點閱點閱:2
期刊論文
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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。  new window
5.Salehi, H.、Burgueno, R.(2018)。Emerging artificial intelligence methods in structural engineering。Engineering Structures,171,170-189。  new window
6.Mitchell, T. M.(1997)。Does machine learning really work?。AI Magazine,18(3),11-20。  new window
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。  new window
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)。  new window
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。  new window
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。  new window
11.Adeli, H.、Yeh, C.(1989)。Perceptron Learning in Engineering Design。Microcomputer in Civil Engineering,,4(4),247-256。  new window
12.Wilmot, C. G.、Mei, B.(2005)。Neural network modeling of highway construction costs。Journal of Construction Engineering and Management,131(7),765-771。  new window
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。  new window
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。  new window
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)。  new window
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)。  new window
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)。  new window
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。  new window
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)。  new window
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。  new window
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。  new window
22.Gawehn, E.、Hiss, J. A.、Schneider, G.(2016)。Deep learning in drug discovery。Molecular informatics,35(1),3-14。  new window
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。new window  延伸查詢new window
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。  new window
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。  new window
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。  new window
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。  new window
28.Fan, C. L.(2020)。Defect risk assessment using a hybrid machine learning method。Journal of Construction Engineering and Management,146(9)。  new window
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)。  new window
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。  new window
31.Hegde, J.、Rokseth, B.(2020)。Applications of machine learning methods for engineering risk assessment--A review。Safety Science,122。  new window
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。  new window
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。  new window
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。  new window
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。  new window
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。  new window
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。  new window
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。  new window
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。  new window
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。  new window
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。  new window
42.Mostafa, K.、Hegazy, T.(2021)。Review of image-based analysis and applications in construction。Automation in Construction,122。  new window
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。  new window
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。  new window
會議論文
1.Cheng, H. D.(1996)。Automated real-time pavement distress detection using fuzzy logic and neural network140-151。  new window
圖書
1.Vapnik, V. N.(1995)。The Nature of Statistical Learning Theory。Springer-Verlag。  new window
2.Mohri, M.、Rostamizadeh, A.、Talwalkar, A.(2012)。Foundations of Machine Learning。The MIT Press。  new window
3.Goodfellow, I.、Bengio, Y.、Courville, A.(2016)。Deep Learning。MIT Press。  new window
4.Farrar C. R.、Worden, K.(2012)。Structural Health Monitoring: A Machine Learning Perspective。Wiley。  new window
 
 
 
 
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