APPLICATION OF SUPERVISED LEARNING
NEURAL NETWORK
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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error due to environmental condition
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difference between desired & target output
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can be both due to difference in target output or environmental condition
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none of the mentioned
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Detailed explanation-1: -What is delta (error) in perceptron model of neuron? Explanation: All other parameters are assumed to be null while calculatin the error in perceptron model & only difference between desired & target output is taken into account.
Detailed explanation-2: -The delta rule in an artificial neural network is a specific kind of backpropagation that assists in refining the machine learning/artificial intelligence network, making associations among input and outputs with different layers of artificial neurons. The Delta rule is also called the Delta learning rule.
Detailed explanation-3: -The error correction learning procedure is simple enough in conception. The procedure is as follows: During training, an input is put into the network and flows through the network generating a set of values on the output units. Then, the actual output is compared with the desired target, and a match is computed.
Detailed explanation-4: -Set the weight vector to random values. Select the next datapoint and calculate its inner product with the weight vector. Calculate the error. Derive new weights using the delta rule. Repeat from step 2 until average error is acceptably low.