Multi-Layer Perceptron (MLP) neural network is currently the most widely used model to deal with applications and therefore it is relevant to design and test methods to improve its efficiency at run time. This paper deals with a new method to use Principal Component Analysis (PCA) to cut differences
Multivariate process capability using principal component analysis in the presence of measurement errors
โ Scribed by Michele Scagliarini
- Publisher
- Springer-Verlag
- Year
- 2011
- Tongue
- English
- Weight
- 541 KB
- Volume
- 95
- Category
- Article
- ISSN
- 1863-8171
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