Match List I with List II List – I (A) The activation function (B) The…
2024
Match List I with List II
List – I
(A) The activation function
(B) The learning method of perceptron
(C) Areas of application of artificial neural network include
(D) The output of the perceptron
List – II
(I) is called the delta rule.
(II) is one of the key components of the perceptron as in the most common neural network architecture.
(III) is always boolean like a switch.
(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
List–I → List–II
(A) The activation function
Activation function is a core part of perceptron architecture
⇒(II) one of the key components of the perceptron\Rightarrow (II) \text{ one of the key components of the perceptron}⇒(II) one of the key components of the perceptron
(B) The learning method of perceptron
Perceptron learning rule is also known as Delta rule
⇒(I) is called the delta rule\Rightarrow (I) \text{ is called the delta rule}⇒(I) is called the delta rule
(C) Areas of application of artificial neural network include
ANN is widely used in system identification and control
⇒(IV) system identification and control\Rightarrow (IV) \text{ system identification and control}⇒(IV) system identification and control
(D) The output of the perceptron
Perceptron output is binary (0 or 1), like a switch
⇒(III) always boolean like a switch\Rightarrow (III) \text{ always boolean like a switch}⇒(III) always boolean like a switch
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