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Self organising map machine learning approach to pattern recognition for protein secondary structures and robotic limb control

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Figure

Figure 2: Schematic of the SOM training process. The BMU (cream circle), and its neigh-
Figure 3: The trained SOM. The example here is a view of one level of a SOM that hasclustered CD spectra; this represents the light intensities at one wavelength
Figure 4: Voronoi regions, a) a well adapted network arrangement with good modelling of a
Figure 5: The different CD spectra that are produced by the various structures of chiral
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