60 citations to 10.1162/NECO_a_00849 (Crossref Cited-By Service)
  1. Nikolay KYURKCHİEV, “A new class activation functions with application in the theory of impulse technics”, Journal of Mathematical Sciences and Modelling, 1, № 1, 2018, 15  crossref
  2. Yuri Antonacci, Jlenia Toppi, Antonio Pietrabissa, Alessandra Anzolin, Laura Astolfi, “Measuring Connectivity in Linear Multivariate Processes With Penalized Regression Techniques”, IEEE Access, 12, 2024, 30638  crossref
  3. Weiqiang Ying, Lingyan Zhang, Lanqing Huang, Luoshi Jian, Chen Yao, Fangtian Ying, Wenbing Zhao, Changbo Cheng, Cheng Siong Chin, Fourth International Conference on Computer Science and Communication Technology (ICCSCT 2023), 2023, 20  crossref
  4. In Kuk Kang, Tae Yong Shin, Jae Hong Kim, “Observation-informed modeling of artificial neural networks to predict flow and bleeding of cement-based materials”, Construction and Building Materials, 409, 2023, 133811  crossref
  5. Qing-Dao-Er-Ji Ren, Na Li, Weiming Zhang, “Research on Sand-Dust Storm Forecasting Based on Deep Neural Network With Stacking Ensemble Learning”, IEEE Access, 10, 2022, 111855  crossref
  6. Pengyong Miao, Pengfei Liu, “Prediction-Based Maintenance of Existing Bridges Using Neural Network and Sensitivity Analysis”, Advances in Civil Engineering, 2021, 2021, 1  crossref
  7. Tan Bui-Thanh, “A unified and constructive framework for the universality of neural networks”, IMA Journal of Applied Mathematics, 2023, hxad032  crossref
  8. Hao Wu, Chia-Huei Wu, “Image Self-Coding Algorithm Based on IoT Perception Layer”, Mobile Information Systems, 2022, 2022, 1  crossref
  9. Wenhuai Li, Jiejin Cai, Haoliang Lu, Junling Wang, Li Cai, Zhihong Tang, Jinggang Li, Chao Wang, “Constructing a probability digital twin for reactor core with Bayesian network and reduced-order model”, Annals of Nuclear Energy, 193, 2023, 110016  crossref
  10. Sandhya Pundhir, Udayan Ghose, Upasana Bisht, “Assessment of effectiveness of data dependent activation method: MyAct”, IFS, 39, № 1, 2020, 665  crossref
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