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Then, an effective classification surface is needed, which depends on output weight adjustment.
The classification results illustrate that the proposed algorithm can provide a superior classification surface.
Therefore, when the ‖w‖ (or ‖w‖2) minimum and y i (wx i + b) − 1 ≥ 0, where i = 1,2...,n are satisfied, the classification surface is the optimal classification surface.
The optimal classification surface requires that the classification surface not only correctly separates the two classes (the training error rate is 0), but also makes the classification interval the largest.
When classifying a problem, a nonlinear algorithm can supply a better classification surface to adapt the sample space.
Linear discriminant function in D dimension space is g(x) = wx + b, and the classification surface function is wx + b = 0.
Similar(48)
For classification of surface and sub-surface defects, He, et al [19] used amplitudes of a few harmonics generated by using FFT.
Zhang, et al combines both time domain features, namely peak value, peak time and rising time, together with a frequency domain feature derived by using EMD and Hilbert transform for classification of surface notch, sub-surface notches and wall losses [64].
Open image in new window Fig. 5 Diagram showing Chadha's classification of surface water.
Experiments are performed for muscle fatigue classification using surface electromyography data where classification accuracy is measured as the performance metric.
Medical applications include the classification of surface electromyographic signals in [80], and the analysis of brain rhythms in electroencephalograms [91].
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