This set of Neural Networks Questions & Answers for entrance exams focuses on “Characteristics – 3”.
1. The cell body of neuron can be analogous to what mathamatical operation?
a) summing
b) differentiator
c) integrator
d) none of the mentioned
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Explanation: Because adding of potential(due to neural fluid) at different parts of neuron is the reason of its firing.
2. What is the critical threshold voltage value at which neuron get fired?
a) 30mv
b) 20mv
c) 25mv
d) 10mv
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Explanation: This critical is founded by series of experiments conducted by neural scientist.
3. Does there is any effect on particular neuron which got repeatedly fired ?
a) yes
b) no
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Explanation: The strength of neuron to fire in future increases.
4. What is name of above mechanism?
a) hebb rule learning
b) error correction learning
c) memory based learning
d) none of the mentioned
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Explanation: It follows from basic definition of hebb rule learning.
5. What is hebb’s rule of learning
a) the system learns from its past mistakes
b) the system recalls previous reference inputs & respective ideal outputs
c) the strength of neural connection get modified accordingly
d) none of the mentioned
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Explanation: The strength of neuron to fire in future increases, if it is fired repeatedly.
6. Are all neuron in brain are of same type?
a) yes
b) no
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Explanation: Follows from the fact no two body cells are exactly similar in human body, even if they belong to same class.
7. What is estimate number of neurons in human cortex?
a) 108
b) 105
c) 1011
d) 1020
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Explanation: It is a fact !
8. what is estimated density of neuron per mm^2 of cortex?
a) 15*(102)
b) 15*(104)
c) 15*(103)
d) 5*(104)
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Explanation: It is a biological fact !
9. Why can’t we design a perfect neural network?
a) full operation is still not known of biological neurons
b) number of neuron is itself not precisely known
c) number of interconnection is very large & is very complex
d) all of the mentioned
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Explanation: These are all fundamental reasons, why can’t we design a perfect neural network !
10. How many synaptic connection are there in human brain?
a) 1010
b) 1015
c) 1020
d) 105
View Answer
Explanation: You can estimate this value from number of neurons in human cortex & their density.
Sanfoundry Global Education & Learning Series – Neural Networks.
To practice all areas of Neural Networks for entrance exams, here is complete set on 1000+ Multiple Choice Questions and Answers.
