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

Revision as of 08:36, 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:

• Applicable Research Area: -

• Applicable Technical Category: Machine Learning

• License Information: MIT license (MIT)

• Related to circularity and sustainability: No

• Audience: Manufacturers

@@ Line 5: / Line 5: @@
 •	'''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
@@ Line 13: / Line 13: @@
 •	'''AI Breadth''': ML, LSTM
-•	'''Learning Ability''': Deep learning, LSTM
+•	'''Learning Ability''': Deep learning, LSTM, Time series
 •	'''Related technologies''':
-•	'''Applicable Research Area''':
+•	'''Applicable Research Area''': -
-•	'''Applicable Technical Category''':
+•	'''Applicable Technical Category''': Machine Learning
-•	'''Applicable Business Category''':
 •	'''License Information''': MIT license (MIT)
@@ Line 27: / Line 25: @@
 •	'''Related to circularity and sustainability''':  No
-•	'''Audience''': Manufacturer
+•	'''Audience''': Manufacturers