# Neural Network Questions and Answers – Analysis of Pattern Storage Networks – 2

This set of Neural Networks Quiz focuses on “Analysis Of Pattern Storage Networks – 2”.

1. For what purpose energy minima are used?
a) pattern classification
b) patten mapping
c) pattern storage
d) none of the mentioned

Explanation: Energy minima are used for pattern storage.

2. Is it possible to determine exact number of basins of attraction in energy landscape?
a) yes
b) no

Explanation: It is not possible to determine exact number of basins of attraction in energy landscape.

3. What is capacity of a network?
a) number of inputs it can take
b) number of output it can deliver
c) number of patterns that can be stored
d) none of the mentioned

Explanation: The capacity of a network is the number of patterns that can be stored.

4. Can probability of error in recall be reduced?
a) yes
b) no

Explanation: Probability of error in recall be reduced by adjusting weights in such a way that it is matched to probability distribution of desired patterns.

5. Number of desired patterns is what of basins of attraction?
a) dependent
b) independent
c) dependent or independent
d) none of the mentioned

Explanation: Number of desired patterns is independent of basins of attraction.
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6. What happens when number of patterns is more than number of basins of attraction?
a) false wells
b) storage problem becomes hard problem
c) no storage and recall can take place
d) none of the mentioned

Explanation: When number of patterns is more than number of basins of attraction then storage problem becomes hard problem.

7. What happens when number of patterns is less than number of basins of attraction?
a) false wells
b) storage problem becomes hard problem
c) no storage and recall can take place
d) none of the mentioned

Explanation: False wells are created when number of patterns is less than number of basins of attraction.

8. What is hopfield model?
a) fully connected feedback network
b) fully connected feedback network with symmetric weights
c) fully connected feedforward network
d) fully connected feedback network with symmetric weights

Explanation: Hopfield model is fully connected feedback network with symmetric weights.

9. When are false wells created?
a) when number of patterns is more than number of basins of attraction
b) when number of patterns is less than number of basins of attraction
c) when number of patterns is same as number of basins of attraction
d) none of the mentioned

Explanation: False wells are created when number of patterns is less than number of basins of attraction.

10. When does storage problem becomes hard problem?
a) when number of patterns is more than number of basins of attraction
b) when number of patterns is less than number of basins of attraction
c) when number of patterns is same as number of basins of attraction
d) none of the mentioned

Explanation: When number of patterns is more than number of basins of attraction then storage problem becomes hard problem.

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