Match List I with List II
| List I | List II |
|---|---|
| (A) The activation | (I) is called the delta function 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. |
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Show answer & explanation
Correct answer: C. (A)-(II), (B)-(I), (C)-(IV), (D)-(III)
Explanation
The activation function is a key component of the perceptron (A-II). Its learning method is the delta rule (B-I). ANN applications include system identification and control (C-IV). A perceptron's output is boolean, like a switch (D-III).More Artificial Intelligence (AI) questions
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