Multistage Newton’s Approach for Training Radial Basis Function Neural Networks-Reference-Cited by-同舟云学术

Multistage Newton’s Approach for Training Radial Basis Function Neural Networks

Published:2021-07-03 Issue:5 Volume:2 Page:
ISSN:2662-995X
Container-title:SN Computer Science
language:en
Short-container-title:SN COMPUT. SCI.

Author:

Tyagi Kanishka,Rane Chinmay^ORCID,Irie Bito,Manry Michael

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s42979-021-00757-8.pdf

Reference68 articles.

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3. Medgassy P. Decomposition of superposition of distributed functions. 1961.

4. Micchelli CA. Interpolation of scattered data: distance matrices and conditionally positive definite functions. In: Approximation theory and spline functions. Springer; 1984, p. 143–5.

5. Broomhead DS, Lowe D. Radial basis functions, multi-variable functional interpolation and adaptive networks. Technical report, DTIC Document; 1988.

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