Neural network with unbounded activation functions is universal approximator

Sonoda, Sho, Murata, Noboru·2017·Applied and Computational Harmonic Analysis
DOI 10.1016/j.acha.2015.12.005

Cited by (309)

Items 301–309 of 309

  1. Convergence and stability analysis of neural stochastic differential equations with Poisson jumps
    Qi RONG, Liang Yan, Xiaojun Duan · 2026 · Chaos Solitons & Fractals
  2. Acceleration of Numerical Simulations with Deep Learning : Application to Thermodynamic Equilibrium Calculations
    Jingang Qu · 2023 · theses.fr (ABES)
  3. Basket-Carr: Radon Inversion for Multi-Asset Hedging
    Mohammed Ahnouch · 2026 · SSRN Electronic Journal
  4. MSRC-KAN-PAM: A New Interpretable Rotating Machinery Fault Diagnosis Framework
    Hongxing Wang, Hao Zhu, Hui Li · 2026 · Journal of Vibration Engineering & Technologies
  5. Multi-model model using sugarcane juice quality prediction by deep convolutional neural networks
    M. Muthalakshmi, Chinnathambi · 2026 · AIP conference proceedings
  6. Prediction of post-operative delirium with machine learning in abdominal surgery with comorbidity indices and laboratory values
    Wesley Chorney, Shinhee Kang, Sing Hui Ling, Michael Lisi · 2026 · medRxiv
  7. Hybrid ridgelet deep neural networks for data-driven arbitrage strategies
    Bahadur Yadav, Sanjay Kumar Mohanty · 2026 · Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences
  8. The statistical physics of learning in under- and over-parameterized layered neural networks
    Otavio Citton, Frederieke Richert, Michael L. Biehl · 2026 · Physica A Statistical Mechanics and its Applications
  9. Time-series models performance comparison: feed-forward neural network and autoregressive
    Mohammad Shamim Miah, Werner Lienhart · 2026 · Procedia Structural Integrity