APPLICATION OF SUPERVISED LEARNING
NEURAL NETWORK
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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They have the ability to learn by example
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They are more fault tolerant
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They are more suited for real time operation due to their high ‘computational’ rates
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None of the above
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Detailed explanation-1: -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. Because of their parallel architecture, high computational rates are achieved.
Detailed explanation-2: -The ways in which they function Another fundamental difference between traditional computers and artificial neural networks is the way in which they function. While computers function logically with a set of rules and calculations, artificial neural networks can function via images, pictures, and concepts.
Detailed explanation-3: -Explanation: Neural networks have higher computational rates than conventional computers because a lot of the operation is done in parallel.
Detailed explanation-4: -Store information on the entire network. The ability to work with insufficient knowledge: Good falt tolerance: Distributed memory: Gradual Corruption: Ability to train machine: The ability of parallel processing: 17-Mar-2020