Exam Details
| Subject | Neural Network | |
| Paper | ||
| Exam / Course | Diploma -VIEP-Computer Science and Engineering(DCSVI)/Advanced Level O Certificate Course In Cse (ACCSVI) B.Tech. Computer Science And Engineering (BT | |
| Department | School of Engineering & Technology (SOET) | |
| Organization | indira gandhi national open university | |
| Position | ||
| Exam Date | December, 2016 | |
| City, State | new delhi, |
Question Paper
1. Discuss the analogy between biological and artificial neural networks.
2. With the help of a suitable diagram., discuss the functioning of a simple artificial neuron. Explain how the functionality is affected if two such neurons are connected in series.
3. Discuss back propagation algorithm for a multilayer network.
4. What do you understand by Associative Networks In this context, explain the working of a Hopfield Network.
5. Write an algorithm to implement simulated annealing.
6. Discuss Hebb's rules in context to the following:
Supervised learning
Unsupervised learning
7. What do you mean by Knowledge Engineering? Explain the various stages of Knowledge Acquisition.
What is Fuzzy set theory
How is Fuzzy logic useful in Neural Networking?
9. Explain Radial Basis Function network for function approximation, with one output unit and L hidden units. Draw a suitable diagram.
10. Discuss the role of
Selection,
Cross-over, and
Mutation
in the context of a genetic algorithm.
2. With the help of a suitable diagram., discuss the functioning of a simple artificial neuron. Explain how the functionality is affected if two such neurons are connected in series.
3. Discuss back propagation algorithm for a multilayer network.
4. What do you understand by Associative Networks In this context, explain the working of a Hopfield Network.
5. Write an algorithm to implement simulated annealing.
6. Discuss Hebb's rules in context to the following:
Supervised learning
Unsupervised learning
7. What do you mean by Knowledge Engineering? Explain the various stages of Knowledge Acquisition.
What is Fuzzy set theory
How is Fuzzy logic useful in Neural Networking?
9. Explain Radial Basis Function network for function approximation, with one output unit and L hidden units. Draw a suitable diagram.
10. Discuss the role of
Selection,
Cross-over, and
Mutation
in the context of a genetic algorithm.
Other Question Papers
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Subjects
- Advanced ComputerArchitecture
- Algorithms and Logic Design
- Artificial Intelligence
- Basics of Networking
- Bio-Informatics
- C P r o g r a m m i n g
- Computer Architecture
- Computer Networks
- Computer Organisations
- Computer Organization
- Cryptography And Network Security
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- Database Management System
- Design And Analysis Of Algorithm
- Digital Image Processing
- Discrete Maths Structure
- Distributed Database
- E-Business
- Elective-Computer Networks
- Embedded System
- Formal Languages And Automata
- Fuzzy Systems
- Java Basic and Object Modeling Design
- Logic Design
- Microprocessor
- Mobile Computing
- Neural Network
- Numerical Methods and Computation
- Object Modeling And Design
- Object Oriented Design And Programming
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- Operating System
- Operating Systems
- Parallel Algorithms
- Pattern Recognition
- PC Assembly and Maintenance
- Principles of Communication Engineering
- Principles Of Programming Languages
- Real Time Systems
- Software Engineering
- Software Project Management (Spm)
- Software Quality Engineering
- Software Reusability
- System Analysis and Design
- System Programming And Compiler Design
- Theory Of Computation
- Unix Internals And Shell Programming
- Visual Basic Programming
- Web Technology