Fault and Noise Tolerance in the Incremental Extreme Learning Machine
The extreme learning machine (ELM) is an efficient way to build single-hidden-layer feedforward networks (SLFNs). However, its fault tolerant ability is very weak. When node noise or node failure exist in a network trained by the ELM concept, the performance of the network is greatly degraded if a c...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2019-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8873590/ |