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IA-2026-0159

Study on the use of Artificial Neural Networks to Predict the Return Timing and Northern Diversion Rate for Migrating Fraser River Sockeye Salmon

Ideation Ecosystems and Oceans Science

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

Strategic alignment

  • —

Contacts

Subject matter expert
Thomson, Richard

Lifecycle

  1. Ideation

    Stage status : In progress

    August 28, 2026

  2. Assessment

    Stage status : Upcoming

  3. Approved

    Stage status : Upcoming

  4. Development

    Stage status : Upcoming

  5. Pilot

    Stage status : Upcoming

  6. Production

    Stage status : Upcoming

  7. Archived

    Stage status : Upcoming

Schedule for this initiative

  • Completed
  • In progress
  • Planned
  • Not applicable
  • Today
Aug 26
Change log (4 entries)

Public history of this initiative's key events. The team's internal exchanges are not shown.

  1. Stage change

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  2. Stage change

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  3. Stage change

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  4. Created