A typology of adopters and nonadopters of improved sorghum seeds in Tanzania : a deep learning neural network approach
Aloyce R. Kaliba, Richard J. Mushi, Anne G. Gongwe, Kizito Mazvimavi
| Year of publication: |
2020
|
|---|---|
| Authors: | Kaliba, Aloyce R. ; Mushi, Richard J. ; Gongwe, Anne G. ; Mazvimavi, Kizito |
| Published in: |
World development : the multi-disciplinary international journal devoted to the study and promotion of world development. - Amsterdam : Elsevier Science, ISSN 0305-750X, ZDB-ID 185339-9. - Vol. 127.2020, p. 1-18
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| Subject: | Deep learning | Double hurdle | Neural networks | Sorghum | t-SNE | Typology | Neuronale Netze | Tansania | Tanzania | Hirse | Millet | Lernprozess | Learning process | Künstliche Intelligenz | Artificial intelligence | Theorie | Theory |
Erscheint auch als (Online-Ausgabe):
A typology of adopters and nonadopters of improved sorghum seeds in Tanzania, 2020
Persistent link: https://www.econbiz.de/10012214390