Estimation of Non-Optically Active Water Quality Parameters in Zhejiang Province Based on Machine Learning.
Lingfang GaoYulin ShangguanZhong SunQiaohui ShenZhou ShiPublished in: Remote. Sens. (2024)
Keyphrases
- water quality
- machine learning
- measured data
- parameter estimation
- maximum likelihood estimation
- quality management
- water treatment
- economic growth
- parameters estimation
- parameter values
- real time
- maximum likelihood
- machine learning methods
- parametric models
- closed form solutions
- model selection
- update equations
- learning algorithm
- estimation process
- text classification
- natural language processing
- expert systems
- text mining
- decision trees
- feature selection
- estimation algorithm
- grey relational analysis
- dissolved oxygen
- em algorithm