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Constrained Least Absolute Deviation Neural Networks
It is well known that least absolute deviation (LAD) criterion or L(1)-norm used for estimation of parameters is characterized by robustness, i.e., the estimated parameters are totally resistant (insensitive) to large changes in the sampled data. This is an extremely useful feature, especially, when...
שמור ב:
| Main Authors: | , |
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| פורמט: | Artigo |
| שפה: | Inglês |
| יצא לאור: |
2008
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| נושאים: | |
| גישה מקוונת: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2386761/ https://ncbi.nlm.nih.gov/pubmed/18269958 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TNN.2007.905840 |
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