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

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• 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

• Applicable Business Category: Manufacturing

• Application in relevant Projects/Initiatives: AI REGIO

• Asset Type: Jupyter Notebook

• AI Breadth: ML

• Learning Ability: Supervised Regression Learning, Hyperparameter Optimisation

• Related technologies:TensorFlow/Keras, Long Short-Term Memory (LSTM) Networks,Temporal Convolutional Networks (TCNs),Convolutional Neural Networks (CNNs)

• Applicable Research Area: Integrative AI

• Applicable Technical Category: Machine Learning

• License Information: Proprietary license

• Related to circularity and sustainability: Integrative AI

• Audience Manufacturers


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