Evolutionary multi-task learning for modular knowledge representation in neural networks
The brain can be viewed as a complex modular structure with features of information processing through knowledge storage and retrieval. Modularity ensures that the knowledge is stored in a manner where any complications in certain modules do not affect the overall functionality of the brain. Althoug...
Saved in:
Main Authors: | Chandra, Rohitash, Gupta, Abhishek, Ong, Yew-Soon, Goh, Chi-Keong |
---|---|
Other Authors: | School of Computer Science and Engineering |
Format: | Article |
Language: | English |
Published: |
2020
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/138814 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Evolutionary multitasking : a computer science view of cognitive multitasking
by: Ong, Yew-Soon, et al.
Published: (2021) -
Multifactorial evolution : toward evolutionary multitasking
by: Gupta, Abhishek, et al.
Published: (2021) -
Multiobjective multifactorial optimization in evolutionary multitasking
by: Gupta, Abhishek, et al.
Published: (2021) -
Multifactorial evolutionary algorithm with online transfer parameter estimation : MFEA-II
by: Bali, Kavitesh Kumar, et al.
Published: (2020) -
Landscape synergy in evolutionary multitasking
by: GUPTA, Abhishek, et al.
Published: (2016)