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Fig. 7. Graph of Transient Length versus Noise for n =50
Fig. 8. Graph of Transient Length versus Noise for n = 100
4.3 Identification/Recognition Complexity
The Fig.7 and 8 represent time taken to recognize a noisy pattern for n =50
and n = 100 respectively. All the results reported in Fig.7 and 8 ensure that
the time taken to recognize a noisy pattern is independent of k . Also, it does
not depend on the size of the patterns learnt ( n ). It depends on the transient
length of the CA , which is constant. Hence, the cost of computation for
the entire recognition/identification process is constant.
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