| 紀錄類型: |
書目-電子資源
: Monograph/item
|
| 正題名/作者: |
Proceedings of ELM 2022/ edited by Kaj-Mikael Bjork. |
| 其他題名: |
theory, algorithms and applications / |
| 其他題名: |
ELM 2022 |
| 其他作者: |
Bjork, Kaj-Mikael. |
| 團體作者: |
International Conference on Extreme Learning Machine |
| 出版者: |
Cham :Springer Nature Switzerland : : 2024., |
| 面頁冊數: |
v, 81 p. :ill., digital ;24 cm. |
| 內容註: |
Application of ELM model to the motion detection of vehicles under moving background -- Distributed memory-efficient algorithm for Extreme Learning Machines based on Spark -- Does streaming affect video game popularity? -- Massive Offline Signature Forgery Detection with Extreme Learning Machines -- Importance of the Activation Function in Extreme Learning Machine for Acid Sulfate Soil Classification. |
| Contained By: |
Springer Nature eBook |
| 標題: |
Artificial intelligence - Congresses. - |
| 電子資源: |
https://doi.org/10.1007/978-3-031-55056-0 |
| ISBN: |
9783031550560 |