Inevitable Blind Man
FaceMask49
caused by minor errors.
Now the interesting thing is that when artificial neural networks are set up their strengths and weaknesses begin to invert with respect to these categories. They are found to be good at pattern recognition, less vulnerable to crashes, able to cope with imprecise and noisy data, but slower and less good at linear processing and very extravagant with regard to the time and processing power required as compared with linear computer programmes. They are used in search engines to get a "rough fit" between the question asked and the contents of the database, and for recognising spam in spam filters, and similar functions involving what has come to be called "fuzzy logic".
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