Multilayer Feedforward Networks
By T. Masters. 1993
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Shihao Gu
- D. Xiu
- Bryan T. Kelly
- Jesús Fernández-Villaverde
- S. Hurtado
- Galo Nuño
- Yacine Aït-Sahalia
- Markus Pelger
Citations in the corpus
- Empirical Asset Pricing via Machine Learning (2018, background): “, the inputs (16)Hornik et al. (1989) and White (1989) show that, under reasonable regularity conditions, estimation via l2 error minimization produces consistent and asymptotically normal forecasts. (17)Relatedly, random subsetting at each SGD iteration adds noise to the optimization procedure, whi”
- Financial Frictions and the Wealth Distribution (2019, background): “First, the universal approximation theorem (Hornik et al., 1989; Cybenko, 1989) states that a neural network can approximate any unknown Borel measurable function.”