Match List I with List II List–I (Term) List–II (Definition) (A) The…
2024
Match List I with List II
List–I (Term) | List–II (Definition) |
|---|---|
(A) The activation function | (I) is called the delta rule. |
(B) The learning method of perceptron | (II) is one of the key components of the perceptron as in the most common neural network architecture. |
(C) Areas of application of artificial neural network include | (III) is always boolean like a switch. |
(D) The output of the perceptron | (IV) system identification and control. |
Choose the correct answer from the options below:
- A.
(A)-(II), (B)-(IV), (C)-(III), (D)-(I)
- B.
(A)-(IV), (B)-(III), (C)-(II), (D)-(I)
- C.
(A)-(II), (B)-(I), (C)-(IV), (D)-(III)
- D.
(A)-(III), (B)-(IV), (C)-(II), (D)-(I)
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Correct answer: C
Correct matching and brief explanations:
The activation function → is one of the key components of the perceptron as in the most common neural network architecture. It determines how the weighted sum is transformed into an output.
The learning method of the perceptron → is called the delta rule. This is the perceptron learning/update rule used to adjust weights.
Areas of application of artificial neural networks include → system identification and control. Neural networks are frequently used for modeling, prediction and control tasks.
The output of the perceptron → is always boolean like a switch. With a step activation function, the perceptron produces binary decisions.
Therefore the correct set of pairings is: activation function → key component; learning method → delta rule; areas of application → system identification and control; output → boolean-like.
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