Artificial Intelligence - Artificial Intelligence Section 2

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1. Artificial neural network used for

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Option : D
Explanation :

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2. A perceptron has two inputs x₁ and x₂ with weights w₁ and w₂ and a bias weight of w₀. The activation function of the perceptron is h(x). The output of the perceptron is given by:

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Option : A
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3. We provide a training input x to a perceptron learning rule. The desired output is t and the actual output is o. If learning rate is η, the weight update performed by the learning rule is given by the equation?

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Option : B
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4. Suppose we have n training examples x_i, i = 1,.....,n, whose desired outputs are t_i, i = 1,.....,n. The output of a perceptron for these training examples x_i's are oi, i = 1,.....,n .The error function minimised by the gradient descend perceptron learning algorithm is:

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B
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D

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Option : B
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5. Three main basic features involved in characterizing membership function are

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Option : C
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Artificial Intelligence Section 2

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