Standard statistical discriminant analysis techniques inherently make assumptions about underlying class structures in data, limiting their validity and effectiveness. Other classification methods, such as soft independent modeling of class analogy (SIMCA) or artificial neural networks, replace the
Bayesian Neural Networks for Aroma Classification.
โ Scribed by Johanna Klocker; Bettina Wailzer; Gerhard Buchbauer; Peter Wolschann
- Publisher
- John Wiley and Sons
- Year
- 2003
- Weight
- 52 KB
- Volume
- 34
- Category
- Article
- ISSN
- 0931-7597
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