Analytical approach for monitoring endocrine-disrupting compounds in urban waste water treatment plants
โ Scribed by Aldo Roda; Mara Mirasoli; Elisa Michelini; Maria Magliulo; Patrizia Simoni; Massimo Guardigli; Roberta Curini; Manuel Sergi; Alessandra Marino
- Publisher
- Springer
- Year
- 2006
- Tongue
- English
- Weight
- 184 KB
- Volume
- 385
- Category
- Article
- ISSN
- 1618-2650
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
A partial least squares (PLS) regression is used to model and visualize the waste-water treatment process. The score values of PLS are submitted to both a fuzzy C-means (FCM) clustering and a possibilistic C-means (PCM) clustering. In this work, four concepts are presented. Firstly, a hidden path pr
In this paper, a combined approach of partial least squares PLS and fuzzy c-means FCM clustering for the monitoring of an activated-sludge waste-water treatment plant is presented. Their properties are also investigated. Both methods were applied together in process monitoring. PLS was used for extr