In this work the advantages of using artificial neural networks (ANNs) combined with experimental design (ED) to optimize the separation of amino acids enantiomers, with β£-cyclodextrin as chiral selector, were demonstrated. The results obtained with the ED-ANN approach were compared with those of ei
β¦ LIBER β¦
Artificial neural networks and risk stratification: A promising combination
β Scribed by M. De Beule; E. Maes; O. De Winter; W. Vanlaere; R. Van Impe
- Publisher
- Elsevier Science
- Year
- 2007
- Tongue
- English
- Weight
- 284 KB
- Volume
- 46
- Category
- Article
- ISSN
- 0895-7177
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