Integrated explainable deep learning prediction of harmful algal blooms
Donghyun Lee, Mingyu Kim, Beomhui Lee, Sangwon Chae, Sungjun Kwon, Sungwon Kang
| Year of publication: |
2022
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|---|---|
| Authors: | Lee, Donghyun ; Kim, Mingyu ; Lee, Beomhui ; Chae, Sangwon ; Kwon, Sungjun ; Kang, Sungwon |
| Published in: |
Technological forecasting & social change : an international journal. - Amsterdam : Elsevier, ISSN 0040-1625, ZDB-ID 280700-2. - Vol. 185.2022, p. 1-11
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| Subject: | Chlorophyll-a | Convolutional neural network | Deep learning | Explainable AI | Harmful algal bloom | Prediction | Künstliche Intelligenz | Artificial intelligence | Neuronale Netze | Neural networks | Prognoseverfahren | Forecasting model | Lernprozess | Learning process | Theorie | Theory |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1016/j.techfore.2022.122046 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10014233744