On the origins of randomization-based feedforward neural networks

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...

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書目詳細資料
Main Authors:	Suganthan, Ponnuthurai Nagaratnam, Katuwal, Rakesh
其他作者:	School of Electrical and Electronic Engineering
格式:	Article
語言:	English
出版:	2022
主題:	Engineering::Electrical and electronic engineering Non-Iterative Training Closed-Form Solution
在線閱讀:	https://hdl.handle.net/10356/160252
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!
機構:	Nanyang Technological University
語言:	English

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