A comparison of k-NN, backpropagation, and self-organising map classification methods using an optical fibre based sensor system utilised in an industrial large scale oven

Cormac Sheridan; Marion O'Farrell; Elfed Lewis; William B. Lyons; Colin Flanagan; Nick Jackman

doi:10.1117/12.619555

3 June 2005 A comparison of k-NN, backpropagation, and self-organising map classification methods using an optical fibre based sensor system utilised in an industrial large scale oven

Cormac Sheridan, Marion O'Farrell, Elfed Lewis, William B. Lyons, Colin Flanagan, Nick Jackman

Author Affiliations +

Proceedings Volume 5826, Opto-Ireland 2005: Optical Sensing and Spectroscopy; (2005) https://doi.org/10.1117/12.619555
Event: OPTO-Ireland, 2005, Dublin, Ireland

Abstract

This paper reports on three methods of classifying the spectral data from an optical fibre based sensor system as used in the food industry. The first method uses a feed-forward back-propagation Artificial Neural Network; the second method involves using Kohonen Self-Organising Maps while the third method is k-Nearest Neighbour analysis. The sensor monitors the food colour online as the food cooks by examining the reflected light from both the surface and the core of the product. The combination of using Principal Component Analysis and Backpropagation Neural Networks has been successfully investigated previously. In this paper, results obtained using all three classifiers are presented and compared. The Principal Components used to train each classifier are evaluated from data that generate a "colourscale" comprising six colour classifications. This scale has been developed to allow several products of similar colour to be tested using a single network that had been trained using the colourscale. The results presented show that both the neural network and the Self-Organising Map approach perform comparably, while the k-NN method tested under-performs the other two.

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Cormac Sheridan, Marion O'Farrell, Elfed Lewis, William B. Lyons, Colin Flanagan, and Nick Jackman "A comparison of k-NN, backpropagation, and self-organising map classification methods using an optical fibre based sensor system utilised in an industrial large scale oven", Proc. SPIE 5826, Opto-Ireland 2005: Optical Sensing and Spectroscopy, (3 June 2005); https://doi.org/10.1117/12.619555

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