A generative model-based coevolutionary training framework for noise-tolerant softsensors in wastewater treatment processes
Abstract Data-driven softsensors have gained widespread application in process monitoring and quality prediction, offering advantages over traditional measurement techniques by mitigating their limitations and costs. However, the effectiveness of softsensor models is often hindered by noise in data...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2025-03-01
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| Series: | Complex & Intelligent Systems |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s40747-025-01845-5 |
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