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


•	'''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''': No

•	'''Audience''' Manufacturers


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