Reducing parameter space for neural network training
Publication
, Journal Article
Qin, T; Zhou, L; Xiu, D
Published in: Theoretical and Applied Mechanics Letters
March 2020
Duke Scholars
Published In
Theoretical and Applied Mechanics Letters
DOI
ISSN
2095-0349
Publication Date
March 2020
Volume
10
Issue
3
Start / End Page
170 / 181
Publisher
Elsevier BV
Related Subject Headings
- 4017 Mechanical engineering
- 0913 Mechanical Engineering
- 0299 Other Physical Sciences
Citation
APA
Chicago
ICMJE
MLA
NLM
Qin, T., Zhou, L., & Xiu, D. (2020). Reducing parameter space for neural network training. Theoretical and Applied Mechanics Letters, 10(3), 170–181. https://doi.org/10.1016/j.taml.2020.01.043
Qin, Tong, Ling Zhou, and Dongbin Xiu. “Reducing parameter space for neural network training.” Theoretical and Applied Mechanics Letters 10, no. 3 (March 2020): 170–81. https://doi.org/10.1016/j.taml.2020.01.043.
Qin T, Zhou L, Xiu D. Reducing parameter space for neural network training. Theoretical and Applied Mechanics Letters. 2020 Mar;10(3):170–81.
Qin, Tong, et al. “Reducing parameter space for neural network training.” Theoretical and Applied Mechanics Letters, vol. 10, no. 3, Elsevier BV, Mar. 2020, pp. 170–81. Crossref, doi:10.1016/j.taml.2020.01.043.
Qin T, Zhou L, Xiu D. Reducing parameter space for neural network training. Theoretical and Applied Mechanics Letters. Elsevier BV; 2020 Mar;10(3):170–181.
Published In
Theoretical and Applied Mechanics Letters
DOI
ISSN
2095-0349
Publication Date
March 2020
Volume
10
Issue
3
Start / End Page
170 / 181
Publisher
Elsevier BV
Related Subject Headings
- 4017 Mechanical engineering
- 0913 Mechanical Engineering
- 0299 Other Physical Sciences