Neural network Test
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1. Back propagation
It is another name given to the function in perceptron
It is the transmission error back through the network to adjust the inputs
It is the transmission of error back through the network to allow weights to be adjusted so that the neural network can learn
None of the mentioned
2. Semantic network also known as frame networks
False
True
3. To Find the Degree Of Freedom (DOF) by implementation of If part by Oring the membership of both Ei and AEi
True
False
4. Fuzzy inference system (FIS) is known as
Fuzzy models
Fuzzy associate memory
Fuzzy rule-based system
All above are correct
5. The most popular defuzzification methods are
Center of gravity (COG)
Center average
Either a or b
Both a and b
6. The properties of the set of the rules are
Completeness
Consistency
Continuity
All above
7. The main concept of the expert system is/are
Inference Engine
Knowledge base
Both a and b
Neither a and b
8. Humans are not efficient in dealing with Fuzzy than computer
Yes
No
9. Soft computing techniques are different from conventional in tolerance to
Imprecision
Certainty
Partial truth
Both a and c
10. A perceptron is
Single layer feedforward and neural network with preprocessing
An auto-associative neural network
A double layer auto-associative neural network
A neural network that contains feedback
Match Group A with Group B
Group A
Your Answer
Group B
Linguistic Rules of fuzzy system
c) The laws we execute
Stochastic uncertainties
a) Modeled by probabilities
Linguistic variables
b) Defines concept of our everyday language
Mamdani-style fuzzy inference process
e) Fuzzy inference system (FIS)
Fuzzy models
j) Backbone of FIS
Fuzzy reasoning
i) Process to map input to output
Fuzzification
d) Process of fuzzy logic
Hybrid systems
f) Combined systems
Inference Engine
g) With fuzzy inference rules
Knowledge Base
h) Expert systems
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