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In this case, strength factor is adapted with EM, in a linear form. It must be noticed that for unrecognizable objects in test data (elicited by rules) a fix value such 4 is ascribed. So for measure part when any object is not identified, 1 is attributed. This is main reason of such swing of EM in reduced data set 6 (Figure 6-b). Clearly, in data set 5 SORST gains a lowest error (15 neurons in SOM). Total of extracted rules on the training data set (reduced data) were 33.