A.8: Time prediction for flexible manufacturing: Difference between revisions
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• '''Learning Ability''': Deep learning, LSTM, Time series | • '''Learning Ability''': Deep learning, LSTM, Time series | ||
• '''Related technologies''': | • '''Related technologies''': Python | ||
• '''Applicable Research Area''': | • '''Applicable Research Area''': Integrative AI | ||
• '''Applicable Technical Category''': Machine Learning | • '''Applicable Technical Category''': Machine Learning | ||
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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