A.8: Time prediction for flexible manufacturing: Difference between revisions

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• '''Reference, URL''': https://www.ai4europe.eu/research/ai-catalog/time-prediction-flexible-manufacturing
• '''Reference, URL''': https://www.ai4europe.eu/research/ai-catalog/time-prediction-flexible-manufacturing


• '''Relevant Domain/Industry''': Manufacturing
• '''Applicable Business Category''': Manufacturing


• '''Application in relevant Projects/Initiatives''': AI4EU
• '''Application in relevant Projects/Initiatives''': AI4EU


• '''Type''': Jupyter Notebook  
• '''Asset Type''': Jupyter Notebook  


• '''AI Breadth''': ML, LSTM
• '''AI Breadth''': ML, LSTM


• '''Learning Ability''': Deep learning, LSTM
• '''Learning Ability''': Deep learning, LSTM, Time series


• '''Related technologies''':
• '''Related technologies''': Python
 
• '''Applicable Research Area''': Integrative AI
 
• '''Applicable Technical Category''': Machine Learning


• '''License Information''': MIT license (MIT)
• '''License Information''': MIT license (MIT)


• '''Related to circularity and sustainability''':  No
• '''Related to circularity and sustainability''':  Yes


• '''Audience''': Manufacturer
• '''Audience''': Manufacturers





Latest revision as of 09:19, 27 December 2024

Short Description: Functions for training and evaluation of a stacked LSTM model to predict the time to produce a given item

Reference, URL: https://www.ai4europe.eu/research/ai-catalog/time-prediction-flexible-manufacturing

Applicable Business Category: Manufacturing

Application in relevant Projects/Initiatives: AI4EU

Asset Type: Jupyter Notebook

AI Breadth: ML, LSTM

Learning Ability: Deep learning, LSTM, Time series

Related technologies: Python

Applicable Research Area: Integrative AI

Applicable Technical Category: Machine Learning

License Information: MIT license (MIT)

Related to circularity and sustainability: Yes

Audience: Manufacturers



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