Outliers detection in industrial databases: An example sulphur recovery process
Keywords: behavior, systems, performance, sulfur, complex, identification, plant, diagnosis, database, recovery, industry, networks, square, sets, statistics, variables, training, data, detection, non-linear, process, analysis, robust, outliers, pls, industrial, methods, regressions, outlier, preprocessing, sulphur, approach, Neural, Partial, Residual, Automatic, Least, operational, On-line, Conventional, dataset, (PLS)
Más información
| Título según SCOPUS: | Outliers detection in industrial databases: An example sulphur recovery process |
| Título de la Revista: | IFAC Proceedings Volumes |
| Volumen: | 18 |
| Número: | PART 1 |
| Editorial: | Elsevier |
| Fecha de publicación: | 2011 |
| Página de inicio: | 1652 |
| Página final: | 1657 |
| Idioma: | English |
| Financiamiento/Sponsor: | IFAC |
| URL: | http://www.scopus.com/inward/record.url?eid=2-s2.0-84866759230&partnerID=q2rCbXpz |
| DOI: |
10.3182/20110828-6-IT-1002.02939 |
| Notas: | SCOPUS - SCOPUS |