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 | June, 2015 | |
| City, State | new delhi, |
Question Paper
1. Compare the performance of a computer and a biological Neural Network in terms of speed, processing, size and complexity, storage, fault tolerance and control mechanism.
2. With the help of a suitable diagram, discuss the functioning of a simple artificial neuron. Explain how is the functionality affected, if two such neurons are connected in series.
3. Describe the back propagation algorithm with the help of an example.
4. What are the adaptive multi-layer networks Also discuss about the Tiling Algorithm in detail.
5. Explain Radial Basis Function network for function approximation, with one output unit and L hidden units. Draw suitable diagram.
6. Explain the architecture of a Boltzmann machine. Illustrate it with suitable diagrams.
7. Discuss the role of
Selection,
Cross-over, and
Mutation
in the context of a genetic algorithm.
8. Discuss the essential differences between supervised and unsupervised learning in Neural Networks.
How does Fuzzy theory differ from Probability theory
Describe the major components of an Adaptive Neuro-Fuzzy Inference System.
10. Write short notes on any two of the following:
Regularization
Hopfield Networks
Madaline Networks
2. With the help of a suitable diagram, discuss the functioning of a simple artificial neuron. Explain how is the functionality affected, if two such neurons are connected in series.
3. Describe the back propagation algorithm with the help of an example.
4. What are the adaptive multi-layer networks Also discuss about the Tiling Algorithm in detail.
5. Explain Radial Basis Function network for function approximation, with one output unit and L hidden units. Draw suitable diagram.
6. Explain the architecture of a Boltzmann machine. Illustrate it with suitable diagrams.
7. Discuss the role of
Selection,
Cross-over, and
Mutation
in the context of a genetic algorithm.
8. Discuss the essential differences between supervised and unsupervised learning in Neural Networks.
How does Fuzzy theory differ from Probability theory
Describe the major components of an Adaptive Neuro-Fuzzy Inference System.
10. Write short notes on any two of the following:
Regularization
Hopfield Networks
Madaline Networks
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
- Data Modelling And Uml
- Data Structures
- Data Warehousing And Mining
- 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
- Object Oriented Programming
- 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