Assessing transparency, accuracy, and consistency of relative importance of cow-calf profitability drivers using neural networks versus regression
Colson A. Tester, Michael P. Popp, Bruce L. Dixon and Lanier L. Nalley
| Year of publication: |
2020
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|---|---|
| Authors: | Tester, Colson A. ; Popp, Michael P. ; Dixon, Bruce L. ; Nalley, Lawton Lanier |
| Published in: |
Journal of agricultural and applied economics : JAEE. - Cambridge : Cambridge Univ. Press, ISSN 2056-7405, ZDB-ID 2141115-3. - Vol. 52.2020, 3, p. 352-367
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| Subject: | Artificial neural networks (ANNs) | calving seasoncow herd profitability | fertilizer useherd size management | multivariate regression (MR) | Neuronale Netze | Neural networks | Theorie | Theory | Regressionsanalyse | Regression analysis | Rentabilität | Profitability | Multiple Regression | Multiple regression |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1017/aae.2020.6 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10012320965