Neural Networks and Fuzzy Logic Imp Qusts – NNFL Important Questions

Neural Networks and Fuzzy Logic Imp Qusts Pdf file – NNFL Important Questions

Please find the attached pdf file of Neural Networks and Fuzzy Logic Important Questions Bank – NNFL Imp Qusts

Link – NNFL Question Bank

UNIT-I

1. Write short notes on ADALINE Network
2. What are the applications of neural network.
3. Explain the organization of the brain in detail

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UNIT-II

1. What is the advantage of having hidden layers in an ANN?
2. State the perceptron convergence theorem
3. Write short notes on Learning Strategy

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UNIT-III

1. Write short notes on single layer feed-forward network.
2. State and explain the generalized delta learning rule applied in back propagation algorithm.
3. With an example explain how a pattern can be trained and classified using discrete perceptron algorithm

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UNIT-1V

1. Explain What are the steps involved in back propagation algorithm?
2. What are the limitations of back propagation algorithm?
3. What is meant by uncertainty

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UNIT-V

1. What is Hebbian learning? Explain its role in linear associative?
2. Explain address-addressable memory.
3. Define the hamming distance.

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UNIT-VI

1. Compare and contrast classical set theory and fuzzy set theory.
2. Explain the following: i. Generalized Modus Ponens (GMP). ii. Generalized Modus Tollens (GMT)
3. Describe the geometry of fuzzy sets. (b) Describe the FAM systema

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UNIT-VI

1. Explain the Fuzzy synthesis evaluation and Fuzzy ordering.
2. Explain the concept of fuzzification with an example.
3. What are the rules based format used to represent the fuzzy information

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UNIT-VIII

1. What are the limitations of specialized on-line learning control architecture?
2. Write about the Indirect learning architecture.
3. Write about the Specialized on-line learning control architecture.

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