ACtE09 · Chapter 9AI & Neural Networks🏛️ Past Licensure QuestionID: 67d65db4
The structural and computational complexity of Artificial Neural Networks (ANN) depends on:
The structural and computational complexity of Artificial Neural Networks (ANN) depends on:
Multiple Choice Options
- A
Number of layers
- B
Number of nodes
- C
Activation functions
- D✓ Correct Option
All of the above
Detailed Technical Solution & Explanation
The total capacity, representational power, and computational complexity of an ANN depend directly on its depth (number of layers), width (number of nodes/neurons per layer), and the mathematical non-linearity of its activation functions.
Option Analysis:
•
Option A (Number of layers): Determines architectural depth and representational abstraction.
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Option B (Number of nodes): Determines layer capacity and parameter count.
•
Option C (Activation functions): Determines non-linear expressive power.
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Option D (All of the above): Correct. All three factors determine ANN complexity.
Reference: Demo2 · Set 2NEC Licensure Syllabus