Comparison of k-NN and neural network methods in the classification of spectral data from an optical fibre-based sensor system used for quality control in the food industry

Engineering

• Sensor System 100%
• Quality Control 100%
• Fiber Optics 100%
• Nearest Neighbor 100%
• Principal Components 66%
• Component Analysis 66%
• Fiber Optic Sensor 33%
• Illustrates 33%
• Feature Extraction 33%
• Simplifies 33%
• Classification Method 33%
• Learning Algorithm 33%
• Input Spectrum 33%
• Product Spectrum 33%
• Neighbor Classifier 33%
• Backpropagation Learning 33%
• Perceptron 33%

Food Science

• Food Industry 100%
• Glass Fiber 100%
• Minced Beef 50%
• Beef Burger 50%

Chemical Engineering

• Neural Network 100%
• Multilayer Neural Networks 50%