Neural Network Optimization Based on Complex Network Theory: A Survey
Complex network science is an interdisciplinary field of study based on graph theory, statistical mechanics, and data science. With the powerful tools now available in complex network theory for the study of network topology, it is obvious that complex network topology models can be applied to enhan...
Main Authors: | Daewon Chung, Insoo Sohn |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-01-01
|
Series: | Mathematics |
Subjects: | |
Online Access: | https://www.mdpi.com/2227-7390/11/2/321 |
Similar Items
-
Robustness of Complex Networks Considering Attack Cost
by: Chengwang Wang, et al.
Published: (2020-01-01) -
Influence of random topology in artificial neural networks: A survey
by: Sara Kaviani, et al.
Published: (2020-06-01) -
Optimal resource allocation for network functionality
by: Amikam Patron, et al.
Published: (2020-01-01) -
Reconstructing Damaged Complex Networks Based on Neural Networks
by: Ye Hoon Lee, et al.
Published: (2017-12-01) -
Predicting the Robustness of Real-World Complex Networks
by: Ruizi Wu, et al.
Published: (2022-01-01)