In this paper soft computing techniques, self-organizing maps and fuzzy clustering techniques have been proposed to isolate different layers in stratified soil based on available cone penetration test results. The results have been compared with that obtained from cone classification chart, hierarch
Data validation and missing data reconstruction using self-organizing map for water treatment
β Scribed by B. Lamrini; El-K. Lakhal; M-V. Le Lann; L. Wehenkel
- Book ID
- 106175692
- Publisher
- Springer-Verlag
- Year
- 2011
- Tongue
- English
- Weight
- 786 KB
- Volume
- 20
- Category
- Article
- ISSN
- 0941-0643
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
In this contribution we present extensions of the Self Organizing Map and clustering methods for the categorization and visualization of data which are described by matrices rather than feature vectors. Rows and Columns of these matrices correspond to objects which may or may not belong to the same
## Abstract The diagnosis of many neurologic diseases benefits from the ability to quantitatively assess iron in the brain. Paramagnetic iron modifies the magnetic susceptibility causing magnetic field inhomogeneity in MRI. The local field can be mapped using the MR signal phase, which is discarded