Tuning parameters of deep neural network training algorithms pays off : a computational study
Corrado Coppola, Lorenzo Papa, Marco Boresta, Irene Amerini, Laura Palagi
| Year of publication: |
2024
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|---|---|
| Authors: | Coppola, Corrado ; Papa, Lorenzo ; Boresta, Marco ; Amerini, Irene ; Palagi, Laura |
| Published in: |
Top : an official journal of the Spanish Society of Statistics and Operations Research. - Berlin : Springer, ISSN 1863-8279, ZDB-ID 2322573-7. - Vol. 32.2024, 3, p. 579-620
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| Subject: | Artificial Intelligence | Convolutional neural network | Deep network | Large-scale optimization | Machine learning | Künstliche Intelligenz | Artificial intelligence | Neuronale Netze | Neural networks | Algorithmus | Algorithm | Theorie | Theory | Prognoseverfahren | Forecasting model |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1007/s11750-024-00683-x [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10015188220