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

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

• 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

@@ Line 1: / Line 1: @@
 •	'''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
-•	'''Reference, URL''':
+•	'''Applicable Business Category''': Manufacturing
-•	'''Relevant Domain/Industry''': Manufacturing
+•	'''Application in relevant Projects/Initiatives''': AI4EU
-•	'''Application in relevant Projects/Initiatives''':
+•	'''Asset Type''': Jupyter Notebook
-•	'''Type''':
+•	'''AI Breadth''': ML, LSTM
-•	'''AI Breadth''':
+•	'''Learning Ability''': Deep learning, LSTM, Time series
-•	'''Learning Ability''':
+•	'''Related technologies''': Python
-•	'''Related technologies''':
+•	'''Applicable Research Area''': Integrative AI
-•	'''License Information''': Proprietary license
+•	'''Applicable Technical Category''': Machine Learning
-•	'''Related to circularity and sustainability''':
+•	'''License Information''': MIT license (MIT)
-•	'''Audience''': Manufacturer
+•	'''Related to circularity and sustainability''':  Yes
+•	'''Audience''': Manufacturers