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This section includes 4 Mcqs, each offering curated multiple-choice questions to sharpen your Neural Network knowledge and support exam preparation. Choose a topic below to get started.
1. |
What was the goal of shunting activation model? |
A. | to make system dynamic |
B. | to keep operating range of activation value to a specified range |
C. | to make system static |
D. | can be either for dynamic or static, depending on inputs |
Answer» C. to make system static | |
2. |
Who proposed the shunting activation model? |
A. | rosenblatt |
B. | hopfield |
C. | perkel |
D. | grossberg |
Answer» E. | |
3. |
9.What is the assumption of perkels model, if f(x) is the output function in additive activation model? |
A. | f(x)=x |
B. | f(x)=x<sup>2</sup> |
C. | f(x)=x<sup>3</sup> |
D. | none of the mentioned |
Answer» B. f(x)=x<sup>2</sup> | |
4. |
What s the actual reason behind the boundedness of the output function in activation dynamics? |
A. | limited neural fluid |
B. | limited fan in capacity of inputs |
C. | both limited neural fluid & fan in capacity |
D. | none of the mentioned |
Answer» E. | |