Classification of orange juice adulteration using LDA, PCA and ANN

@article{Nandeshwar2016ClassificationOO,
  title={Classification of orange juice adulteration using LDA, PCA and ANN},
  author={Vikas J. Nandeshwar and Gargi Phadke and Siuli Das},
  journal={2016 IEEE 1st International Conference on Power Electronics, Intelligent Control and Energy Systems (ICPEICES)},
  year={2016},
  pages={1-5}
}
This paper describes the classification of orange juice samples using Linear Discriminant Analysis (LDA), Principal Component Analysis (PCA) and Artificial Neural Network (ANN) detection techniques. The performance of the fractional order capacitor type sensor to detect different types of adulterant in orange juice is also reported here. Comparison between PCA, LDA and ANN detection techniques are done to discriminate various orange juice samples of pure juice, pure juice adulterated with sugar… Expand

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