Which of the following are the advantages of neural networks over conventional computers? Statements: (X) neural networks have the ability to learn by example (Y) neural networks are more fault-tolerant (Z) neural networks are more suitable for real-time operation due to their high ‘computational’ rates Conclusion: (A). (X) and (Y) is true (B). (X) and (Z) are true (C). Only (X) (D). All of these
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Neural networks can be simulated on a conventional computer but the main advantage of neural networks – parallel execution – is lost. ... Explanation: Neural networks learn by example. They are more fault tolerant because they are always able to respond and small changes in input do not normally cause a change in output.
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