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| third - index of third place neuron (if there are more than two output neurons). Must be a normalized float or DP vector or the same size as the training patterns used to train the weights. It could be used to classify any type of data, if the data could be input as a normalized vector. If necessary, resample the spectra to the same dispersion (eg. Extract the same wavelength region from all spectra. |
| The main challenge lies in visually representing the mental models users apply in attempting to understand performance information. It is challenging to relate performance information back to the abstractions that the user understands, particularly when a performance view that appeals to one person's mental model may have little in common with models held by others. The solution is that the visualization techniques and methods used to construct graphic displays of the data must be closely integrated with the models of parallel computation the data represent. In the following section, we discuss a paralel performance visualization model and an underlying theory for applying visualization principles. We then discuss visualization principles and scenarios. |
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