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Optimizing operational watercourse regulation using artificial neural networks : a Vanajavesi case study
Saved in:
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Author: |
Ylönen, Simo1 |
Organizations: |
1University of Oulu, Faculty of Technology, Environmental Engineering |
Format: |
ebook
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Version: |
published version |
Access: |
restricted |
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Theses with restricted access are only available for reading on the e-thesis workstations. |
Pages: |
113
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Persistent link: |
http://urn.fi/URN:NBN:fi:oulu-202307262892
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Language: |
English
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Published: |
Oulu : S. Ylönen,
2023
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Publish Date: |
2023-08-01
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Thesis type: |
Master's thesis (tech)
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Tutor: |
Torabi Haghighi, Ali
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Reviewer: |
Torabi Haghighi, Ali
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Subjects: |
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Copyright information: |
© Simo Ylönen, 2023. This publication is copyrighted. You may download, display and print it for your own personal use. Commercial use is prohibited.
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