Bibliography: leaves 122-136. / In this study, novel approaches such as artificial neural networks and generalized modelling have highlighted the variability in profile shape and enabled its improved prediction. This will lead to superior regional estimates of primary production.
| Identifer | oai:union.ndltd.org:netd.ac.za/oai:union.ndltd.org:uct/oai:localhost:11427/12582 |
| Date | January 2001 |
| Creators | Silulwane, Nonkqubela F |
| Contributors | Richardson, Anthony J, Mitchell-Innes, Betty A, Shillington, Frank |
| Publisher | University of Cape Town, Faculty of Science, Department of Oceanography |
| Source Sets | South African National ETD Portal |
| Language | English |
| Detected Language | English |
| Type | Master Thesis, Masters, MSc |
| Format | application/pdf |
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