Online fuel tracking by combining principal component analysis and neural network techniques
β Scribed by Lijun Xu; Yong Yan; Cornwell, S.; Riley, G.
- Book ID
- 114629938
- Publisher
- IEEE
- Year
- 2005
- Tongue
- English
- Weight
- 796 KB
- Volume
- 54
- Category
- Article
- ISSN
- 0018-9456
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
A combination approach based on Principal Component Analysis (PCA) and Combined Neural Network (CNN) is presented for short-term traffic flow forecasting. The historical data of the forecasted traffic volume and interrelated volumes have been processed by PCA. The results of PCA form the input data
## Abstract Pulsed laserβinduced autofluorescence spectra of pathologically certified normal and malignant colonic mucosal tissues were recorded at 325βnm excitation. The spectra were analysed using three different methods for discrimination purposes. First, all the spectra were subjected to the pr