Three main basic features involved in characterizing membership function are A. Intution, Inference, Rank Ordering B. Fuzzy Algorithm, Neural network, Genetic Algorithm C. Core, Support , Boundary D. Weighted Average, center of Sums, Median

Three main basic features involved in characterizing membership function are
A.
Intution, Inference, Rank Ordering
B.
Fuzzy Algorithm, Neural network, Genetic Algorithm
C.
Core, Support , Boundary
D.
Weighted Average, center of Sums, Median
by

1 Answer

Answer :

C.
Core, Support , Boundary
by

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Last Answer : A network with all the inputs connected directly to the outputs is called a single layer neural network or a perceptron networks.

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Last Answer : i. Acyclic (or) Feed – forward networks  ii. Cyclic (or) Recurrent Networks

What is the name of the function in the following statement “A perceptron adds up all the weighted inputs it receives, and if it exceeds a certain value, it outputs a 1, otherwise it just outputs a 0”? a) Step function b) Heaviside function c) Logistic function d) Perceptron function

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Last Answer : a) All of the mentioned are true

Which of the following is true? (i) On average, neural networks have higher computational rates than conventional computers. (ii) Neural networks learn by example. (iii) Neural networks mimic the way the human brain works. a) All of the mentioned are true b) (ii) and (iii) are true c) (i), (ii) and (iii) are true d) None of the mentioned

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Last Answer : a) All of the mentioned are true