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A study on the application of an improved adaptive neural network in prestressed bridge engineering inspection

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09 oct 2024

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Hossain T, Segura S, Okeil A M. Structural effects of temperature gradient on a continuous prestressed concrete girder bridge: Analysis and field measurements. Structure and Infrastructure Engineering, 2020, 16(11): 1539-1550. Search in Google Scholar

Yang S, Huang Y. Damage identification method of prestressed concrete beam bridge based on convolutional neural network. Neural Computing and Applications, 2021, 33(2): 535-545. Search in Google Scholar

Lantsoght E O L, Zarate G, Zhang F, Park, M. K., Yang, Y., Sliedrecht, H. Shear experiments of prestressed concrete bridge girders. ACI Structural Journal, 2021, 118(3): 117-130. Search in Google Scholar

Chen Z. Research on internet security situation awareness prediction technology based on improved RBF neural network algorithm. Journal of Computational and Cognitive Engineering, 2022, 1(3): 103-108. Search in Google Scholar

Sun Y, Xu J, Lin G, Ji, W., Wang, L. RBF neural network-based supervisor control for maglev vehicles on an elastic track with network time delay. IEEE Transactions on Industrial Informatics, 2020, 18(1): 509-519. Search in Google Scholar

Moravcik M, Bujnakova P, Bahleda F. Failure and damage of a first‐generation precast prestressed bridge in Slovakia. Structural Concrete, 2020, 21(6): 2353-2362. Search in Google Scholar

Fox M J, Furinghetti M, Pavese A. Application of the new Italian assessment guidelines to a 1960s prestressed concrete road bridge. Structural Concrete, 2023, 24(1): 583-598. Search in Google Scholar

Tonelli D, Rossi F, Brighenti F, Verzobio, A., Bonelli, A., Zonta, D. Prestressed concrete bridge tested to failure: the Alveo Vecchio viaduct case study. Journal of Civil Structural Health Monitoring, 2023, 13(4): 873-899. Search in Google Scholar

Khandel O, Soliman M, Floyd R W, Murray, C. D. Performance assessment of prestressed concrete bridge girders using fiber optic sensors and artificial neural networks. Structure and Infrastructure Engineering, 2021, 17(5): 605-619. Search in Google Scholar

Luo Y, Zheng H, Zhang H, Liu, Y. Fatigue reliability evaluation of aging prestressed concrete bridge accounting for stochastic traffic loading and resistance degradation. Advances in Structural Engineering, 2021, 24(13): 3021-3029. Search in Google Scholar

Nurkholis A, Abidin Z, Sulistiani H. Optimasi Parameter Support Vector Machine Berbasis Algoritma Firefly Pada Data Opini Film. Jurnal RESTI (Rekayasa Sistem Dan Teknologi Informasi), 2021, 5(5): 904-910. Search in Google Scholar

Muthukrishnan S, Krishnaswamy H, Thanikodi S, Sundaresan, D., Venkatraman, V. Support vector machine for modelling and simulation of heat exchangers. Thermal Science, 2020, 24(1 Part B): 499-503. Search in Google Scholar

Zhang H, Zou Q, Ju Y,Song, C., Chen, D. Distance-based support vector machine to predict DNA N6-methyladenine modification. Current Bioinformatics, 2022, 17(5): 473-482. Search in Google Scholar

Li X, Wang J, Yang C. Risk prediction in financial management of listed companies based on optimized BP neural network under digital economy. Neural Computing and Applications, 2023, 35(3): 2045-2058. Search in Google Scholar

Tang S, Yu F. Construction and verification of retinal vessel segmentation algorithm for color fundus image under BP neural network model. The Journal of Supercomputing, 2021, 77(4): 3870-3884. Search in Google Scholar

Shneiderman B. Bridging the gap between ethics and practice: guidelines for reliable, safe, and trustworthy human-centered AI systems. ACM Transactions on Interactive Intelligent Systems (TiiS), 2020, 10(4): 1-31. Search in Google Scholar

Deng L, Lai S, Ma J, Lei, L., Zhong, M., Liao, L., Zhou, Z. Visualization and monitoring information management of bridge structure health and safety early warning based on BIM. Journal of Asian Architecture and Building Engineering, 2022, 21(2): 427-438. Search in Google Scholar

Li X, Sun Y. Application of RBF neural network optimal segmentation algorithm in credit rating. Neural Computing and Applications, 2021, 33(14): 8227-8235. Search in Google Scholar

Lu C, He B, Zhang R. Evaluation of English interpretation teaching quality based on GA optimized RBF neural network. Journal of Intelligent Fuzzy Systems, 2021, 40(2): 3185-3192. Search in Google Scholar

Yang F, Mou J, Cao Y, Chu, R. An image encryption algorithm based on BP neural network and hyperchaotic system. China Communications, 2020, 17(5): 21-28. Search in Google Scholar