Top 150+ Solved Neural Network MCQ Questions Answer
Q. Research scientists all over the world are taking steps towards building computers with circuits patterned after the complex inter connections existing among the human brain’s nerve cells. What name is given to such type of computers?
a. intelligent computers
b. supercomputers
c. neural network computers
d. smart computers
Q. Which search is equal to minimax search but eliminates the branchesthat can’t influence the final decision?
a. depth-first search
b. breadth-first search
c. alpha-beta pruning
d. none of the mentioned
Q. Which values are independant in minimax search algorithm?
a. pruned leaves x and y
b. every states are dependant
c. root is independant
d. none of the mentioned
Q. To which depth does the alpha-beta pruning can be applied?
a. 10 states
b. 8 states
c. 6 states
d. any depth
Q. Which search is similar to minimax search?
a. hill-climbing search
b. depth-first search
c. breadth-first search
d. all of the mentioned
Q. Which value is assigned to alpha and beta in the alpha-beta pruning?
a. alpha = max
b. beta = min
c. beta = max
d. both a & b
Q. Where does the values of alpha-beta search get updated?
a. along the path of search
b. initial state itself
c. at the end
d. none of the mentioned
Q. How the effectiveness of the alpha-beta pruning gets increased?
a. depends on the nodes
b. depends on the order in which they are executed
c. both a & b
d. none of the mentioned
Q. What is called as transposition table?
a. hash table of next seen positions
b. hash table of previously seen positions
c. next value in the search
d. none of the mentioned
Q. Which is identical to the closed list in Graph search?
a. hill climbing search algorithm
b. depth-first search
c. transposition table
d. none of the mentioned
Q. Which function is used to calculate the feasibility of whole game tree?
a. evaluation function
b. transposition
c. alpha-beta pruning
d. all of the mentioned
Q. What is the action of task environment in artificial intelligence?
a. problem
b. solution
c. agent
d. observation
Q. What is the expansion if PEAS in task environment?
a. peer, environment, actuators, sense
b. perceiving, enivornment, actuators, sensors
c. performance, environment, actuators, sensors,
d. none of the mentioned
Q. What kind of observing environments are present in artificial intelligence?
a. partial
b. fully
c. learning
d. both a & b
Q. What kind of environment is strategic in artificial intelligence?
a. deterministic
b. rational
c. partial
d. stochastic