Cognitive Radio Techniques Artificial Intelligence 2 Online Exam Quiz
Cognitive Radio Techniques Artificial Intelligence 2 GK Quiz. Question and Answers related to Cognitive Radio Techniques Artificial Intelligence 2. MCQ (Multiple Choice Questions with answers about Cognitive Radio Techniques Artificial Intelligence 2
Which among the following is not commonly determined by using hidden Markov model?
Options
A : Channel transition probabilities
B : Decision making in cellular network
C : Channel quality
D : Signal classification
What type of approach do artificial neurons employ for computation?
Options
A : Comparative
B : Connectionistic
C : Conservative
D : Condensed
In ____ time, Markov chain is called as ____
Options
A : continuous, Markov process
B : discrete, Markov process
C : continuous, Bayesian process
D : discrete, Bayesian process
What function calculates the value to be given as input to a neuron based on the output obtained by the last processed neuron?
Options
A : Correlation
B : Direction
C : Propagation
D : Signalling
What is the terminology used to describe the connection where a set of neuron in one layer is connected to one neuron in the next layer?
Options
A : Fully connected
B : Partially connected
C : Splitting
D : Pooling
Which among the following is the basic component of artificial neural networks?
Options
A : Motors
B : Neurons
C : Nephrons
D : Nuclei
What does the term “hidden” refer to in hidden Markov model technique?
Options
A : Parameters of input
B : Sate sequence
C : Parameters of model
D : Fixed standards of model
Which among the following maybe used for modulation detection in neural networks?
Options
A : Phase based probability
B : Time based probability
C : Time based statistics
D : Phase based statistics
What type of connection is present between nodes in neural networks?
Options
A : Sampled
B : Not weighted
C : Weighted
D : Non-existent
A hidden Markov model can be considered a generalisation of mixture model.
Options
A : True
B : False
C :
D :
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