A Radial Basis Function Neural Network for Stochastic Frontier Analyses of General Multivariate Production and Cost Functions-Reference-Cited by-同舟云学术

A Radial Basis Function Neural Network for Stochastic Frontier Analyses of General Multivariate Production and Cost Functions

Published:2023-01-05 Issue:5 Volume:55 Page:6247-6268
ISSN:1370-4621
Container-title:Neural Processing Letters
language:en
Short-container-title:Neural Process Lett

Author:

Pendharkar Parag C.

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Networks and Communications,General Neuroscience,Software

Link

https://link.springer.com/content/pdf/10.1007/s11063-022-11137-5.pdf

Reference40 articles.

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3. Valero-Carreras D, Aparicio J, Guerrero NM (2021) Support vector frontiers: a new approach for estimating production functions through support vector machines. Omega Int J Manag Sci. https://doi.org/10.1016/j.omega.2021.102490

4. Fan Y, Li Q, Weersink A (1996) Semiparametric estimation of stochastic production frontier models. J Bus Econ Stat 14:460–468

5. Lippmann R (1987) An introduction to computing with neural nets. IEEE Assp Magazine 4:4–22

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