Multi-objective model selection algorithm for online sequential ultimate learning machine
Abstract In order to improve the channel equalization, improve the control quality, and reduce the error of the target output of the online sequential learning machine, a multi-objective model selection algorithm is proposed based on feedback compensation and adaptive equalization control. The chann...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2019-06-01
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| Series: | EURASIP Journal on Wireless Communications and Networking |
| Subjects: | |
| Online Access: | http://link.springer.com/article/10.1186/s13638-019-1477-2 |