Initiative #75
Study on the use of Artificial Neural Networks to Predict the Return Timing and Northern Diversion Rate for Migrating Fraser River Sockeye Salmon
Listed in the registry Ideation Original language : English
About the initiative
Description of the initiative
The Machine Learning feasibility study compliments the statistical approach by asking whether Artificial Intelligence (AI) methods can be developed to predict salmon behaviour as functions of ocean conditions. classical machine learning models, including linear regression, Ridge regression, and Random Forest
AI family
Automation and Decision Support
- AI sub-category
- Predictive Analytics
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Lifecycle
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Ideation
Stage status : In progress
May 29, 2025
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Assessment
Stage status : Upcoming
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Approved
Stage status : Upcoming
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Development
Stage status : Upcoming
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Pilot
Stage status : Upcoming
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Production
Stage status : Upcoming
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Archived
Stage status : Upcoming
Schedule for this initiative
- Completed
- In progress
- Planned
- Not applicable
- Today
A similar need?
Nobody has come forward yet. If your team faces the same problem, say so: it helps bring initiatives together and share a solution.
Contacts
- Requester
- Quan, Eric
- Sector contact
- Thomson, Richard
- Subject matter expert
- Thomson, Richard
Data and tools
- Sector
- Ecosystems and Oceans Science
- Region
- Pacific
- Submitted on
- May 29, 2025