A deep-belief network approach for course scheduling
The scheduling of academic courses is a problem in which a weekly schedule is produced for educational purposes. Many different types of scheduling problems exist at various universities in accordance with their laws, needs, and constraints. These problems fall into the category of NP-hard problems...
Main Authors: | Hassan Rashidi, Maryam Hassanpou |
---|---|
Format: | Article |
Language: | English |
Published: |
Ayandegan Institute of Higher Education, Iran
2020-06-01
|
Series: | Journal of Applied Research on Industrial Engineering |
Subjects: | |
Online Access: | http://www.journal-aprie.com/article_120896.html |
Similar Items
-
Deep Belief Network Modeling for Automatic Liver Segmentation
by: Mubashir Ahmad, et al.
Published: (2019-01-01) -
Deep Belief Network and Auto-Encoder for Face Classification
by: Nassih Bouchra, et al.
Published: (2019-06-01) -
Train Scheduling with Deep Q-Network: A Feasibility Test
by: Intaek Gong, et al.
Published: (2020-11-01) -
Deep Belief Network-Based Approaches for Link Prediction in Signed Social Networks
by: Feng Liu, et al.
Published: (2015-04-01) -
Automatic Deep Feature Learning via Patch-Based Deep Belief Network for Vertebrae Segmentation in CT Images
by: Syed Furqan Qadri, et al.
Published: (2018-12-01)