Neural Networks Questions & Answers for campus interviews on “Terminology”.
1. What is ART in neural networks?
A. automatic resonance theory
B. artificial resonance theory
C. adaptive resonance theory
D. none of the mentioned
Answer: C
Clarification: It is full form of ART & is basic q&a.
2. What is an activation value?
A. weighted sum of inputs
B. threshold value
C. main input to neuron
D. none of the mentioned
Answer: A
Clarification: It is definition of activation value & is basic q&a.
3. Positive sign of weight indicates?
A. excitatory input
B. inhibitory input
C. can be either excitatory or inhibitory as such
D. none of the mentioned
Answer: A
Clarification: Sign convention of neuron.
4. Negative sign of weight indicates?
A. excitatory input
B. inhibitory input
C. excitatory output
D. inhibitory output
Answer: B
Clarification: Sign convention of neuron.
5. The amount of output of one unit received by another unit depends on what?
A. output unit
B. input unit
C. activation value
D. weight
Answer: D
Clarification: Activation is sum of wieghted sum of inputs, which gives desired output..hence output depends on weights.
6. The process of adjusting the weight is known as?
A. activation
B. synchronisation
C. learning
D. none of the mentioned
Answer: C
Clarification: Basic definition of learning in neural nets .
7. The procedure to incrementally update each of weights in neural is referred to as?
A. synchronisation
B. learning law
C. learning algorithm
D. both learning algorithm & law
Answer: D
Clarification: Basic definition of learning law in neural.
8. In what ways can output be determined from activation value?
A. deterministically
B. stochastically
C. both deterministically & stochastically
D. none of the mentioned
Answer: C
Clarification: This is the most important trait of input processing & output determination in neural networks.
9. How can output be updated in neural network?
A. synchronously
B. asynchronously
C. both synchronously & asynchronously
D. none of the mentioned
Answer: C
Clarification: Output can be updated at same time or at different time in the networks.
10. What is asynchronous update in neural netwks?
A. output units are updated sequentially
B. output units are updated in parallel fashion
C. can be either sequentially or in parallel fashion
D. none of the mentioned
Answer: A
Clarification: Output are updated at different time in the networks.
To practice all areas of Neural Networks for campus interviews,