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Discovering the impact of hidden layer parameters on non-iterative training of feed-forward neural networks

Crossref DOI link: https://doi.org/10.1007/s00500-018-3022-3

Published Online: 2018-01-17

Published Print: 2018-06

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Huang, Zhiqi

Wang, Ran

Zhu, Hong

Zhu, Jie
Funding

Funding for this research was provided by:

National Natural Science Foundation of China (61732011, 61772344)

Shenzhen University (827-000140, 827-000230)

Shenzhen University (2017060)

Natural Science Foundation of Hebei Province (F2018511002)

Macao Science and Technology Development Funds (100/2013/A3, 081/2015/A3)
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Text and Data Mining valid from 2018-01-17
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Article History

First Online: 17 January 2018

Compliance with ethical standards

:

: All the authors declare that they have no conflict of interest.

: This article does not contain any studies with human participants or animals performed by any of the authors.

: Informed consent was obtained from all individual participants included in the study.