Improving deep RVFL neural networks on large datasets
Recently, neural networks algorithm is becoming popular among researchers for classification problems such as Handwritten Character Recognition. Gradient descend is a kind of popular method which usually used in neural networks. However, such iteration methods usually lead to train the network slowl...
Saved in:
主要作者: | Li, Bing |
---|---|
其他作者: | Ponnuthurai Nagaratnam Suganthan |
格式: | Thesis-Master by Coursework |
語言: | English |
出版: |
Nanyang Technological University
2021
|
主題: | |
在線閱讀: | https://hdl.handle.net/10356/152334 |
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 |
相似書籍
-
Comparing scalability of RVFL network
由: Yeo, Chester Jie Sheng
出版: (2022) -
Assess edRVFL in stock market price forecasting
由: Ding, Yeqiao
出版: (2020) -
Semi-supervised RVFL-based neural networks for solving classification problems
由: Yao, Cheng Hui
出版: (2021) -
Stock prediction and trading using RVFL networks
由: Mehra, Manav
出版: (2018) -
Scene segmentation with deep neural networks
由: Shuai, Bing
出版: (2018)