## 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**

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

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**UNIT-II**

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

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**UNIT-III**

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

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**UNIT-1V**

- Explain What are the steps involved in back propagation algorithm?
- What are the limitations of back propagation algorithm?
- What is meant by uncertainty

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**UNIT-V**

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

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**UNIT-VI**

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

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**UNIT-VI**

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

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**UNIT-VIII**

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

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