Reconstruction and Intelligent Control for Power Plant
| Main Authors: | , , |
|---|---|
| 企业作者: | |
| 总结: | XV, 208 p. 100 illus., 90 illus. in color. text |
| 语言: | 英语 |
| 出版: |
Singapore :
Springer Nature Singapore : Imprint: Springer,
2023.
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| 版: | 1st ed. 2023. |
| 主题: | |
| 在线阅读: | https://doi.org/10.1007/978-981-19-5574-7 |
| 格式: | 电子 图书 |
书本目录:
- Introduction
- Adaptive mixed edge detection of furnace flame image
- Intelligent flame image segmentation of furnace flame image
- Reconstruction of temperature field based on limited flame image information
- Furnace temperature prediction based on optimized kernel extreme learning machine
- Process modeling of power plant
- Fuzzy K-means network based generalized predictive control for power plant
- Deep-neural-network based nonlinear predictive control for power plant
- Intelligent virtual reference feedback tuning based data driven control for power plant.