Convergence of online gradient method with a penalty term for feedforward neural networks with stochastic inputs
Numer. Math. J. Chinese Univ. (English Ser.)(English Ser.) 14 (2006), pp. 87-96
Published online: 2015-02
Cited by
Export citation
- BibTex
- RIS
- TXT
@Article{NM-14-87,
author = {H. Shao, W. Wu and F. Li},
title = {Convergence of online gradient method with a penalty term for feedforward neural networks with stochastic inputs},
journal = {Numerical Mathematics, a Journal of Chinese Universities},
year = {2015},
volume = {14},
number = {1},
pages = {87--96},
abstract = {},
issn = {},
doi = {https://doi.org/},
url = {http://global-sci.org/intro/article_detail/nm/10091.html}
}
TY - JOUR
T1 - Convergence of online gradient method with a penalty term for feedforward neural networks with stochastic inputs
AU - H. Shao, W. Wu & F. Li
JO - Numerical Mathematics, a Journal of Chinese Universities
VL - 1
SP - 87
EP - 96
PY - 2015
DA - 2015/02
SN - 14
DO - http://doi.org/
UR - https://global-sci.org/intro/article_detail/nm/10091.html
KW -
AB -
H. Shao, W. Wu and F. Li. (2015). Convergence of online gradient method with a penalty term for feedforward neural networks with stochastic inputs.
Numerical Mathematics, a Journal of Chinese Universities. 14 (1).
87-96.
doi:
Copy to clipboard