On the origins of randomization-based feedforward neural networks
This letter identifies original independent works in the domain of randomization-based feedforward neural networks. In the most common approach, only the output layer weights require training while the hidden layer weights and biases are randomly assigned and kept fixed. The output layer weights are...
Saved in:
Main Authors: | , |
---|---|
Other Authors: | |
Format: | Article |
Language: | English |
Published: |
2022
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/160252 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |