Results for a neural network constructed of 78 neurons, following training for ≤100 epochs (see Eq. (1)). The number of each training vector for both treatment and retreatment groups is 30. Each time, the procedure continues until the mean square error is minimized within the ≤100 number of epochs. Following the training procedure, two groups (c-correct case and r-retreat case) of vectors are constructed (see Eq. (9)). The procedure is repeated eight times with randomly constructed training vectors so that eight equivalent but different neural LVQ networks are constructed. The results of the eight repetitions are then averaged to permit a best estimate of the network’s performance.
|Neural networks||Best training performance in number of epochs ≤100||Retreat classification results||Correct classification results|
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