A.1: AI REGIO Supervised Learning for Multivariant Time Series Forecasting

From Circular Twain - Reference Implementations Wiki
Revision as of 09:15, 20 December 2024 by Admin ugqr649i (talk | contribs)
Jump to navigationJump to search

• Short Description:

Jupyter Notebook demo to demonstrate the partial content of FZI asset "Process integrated feedback management" which uses the historical multivariant time series data from a simulative robot manipulator to predict data in the future time steps based on supervised regression learning.

• Reference, URL: https://www.ai4europe.eu/research/ai-catalog/ai-regio-supervised-learning-multivariant-time-series-forecasting

• Relevant Domain/Industry: Manufacturing

• Application in relevant Projects/Initiatives: AI REGIO

• Type: Jupyter Notebook

• AI Breadth: ML

• Learning Ability:

• Related technologies:

• Applicable Research Area:

• Applicable Technical Category:

• Applicable Business Category:

• Asset Type:

• License Information:

• Related to circularity and sustainability: Integrative AI

• Audience Manufacturer


Go back to the AI portfolio of reference implementations

Retrieved from "https://wiki-circular-twain.s5labs.eu/index.php?title=A.1:_AI_REGIO_Supervised_Learning_for_Multivariant_Time_Series_Forecasting&oldid=167"