A learning strategy for developing neural networks using repetitive observations
Neural networks can model system behaviors by learning past system observations. As system observations are usually collected by human judgments, physical experiments or sensor measures, they can be inherently imprecise and inconsistent over time. System behaviors can be learned more completely from...
| Main Authors: | , |
|---|---|
| Format: | Journal Article |
| Published: |
Springer Verlag
2018
|
| Online Access: | http://hdl.handle.net/20.500.11937/69571 |