APPLICATION OF SUPERVISED LEARNING
NEURAL NETWORK
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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It can explain result
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It can survive the failure of some nodes
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It has inherent parallelism
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It can handle noise
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Detailed explanation-1: -4. Which of the following is not the promise of artificial neural network? Explanation: The artificial Neural Network (ANN) cannot explain result.
Detailed explanation-2: -The option that’s not a feature of a neural network is C. Neural networks can analyze linear relationships only. Neutral networks simply refer to the collection of algorithms that have been patterned to analyze patterns. It should be noted that neural networks cannot analyze linear relationships only.
Detailed explanation-3: -Feedforward Neural Network – Artificial Neuron The information in the neural network travels in one direction and is the purest form of an Artificial Neural Network. This kind of neural network can have hidden layers and data enter through input nodes and exit through output nodes.
Detailed explanation-4: -Processing Elements. Topology. Learning Algorithm. 23-May-2019