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, 2015 | |
City, State | new delhi, |
Question Paper
1. Define neural network. What do you mean by biological activations of a neuron Explain all functional units with the help of a diagram.
Explain perception with examples.
Explain the Perceptron Training algorithm with suitable examples.
Explain the performance of neural networks based on computational resources.
Explain the application of neural networks in the field of forecasting.
4. Explain Boltzmann Machines as a generalization of Hopfield Networks.
Calculate the Hamming distances between stored vectors and input vectors using diagram.
Write the simple competitive learning algorithm.
Explain the recurrent network with hidden nodes, to which Williams and Zipser's training procedure can be applied.
Write the steps for supervised training algorithm for a network proposed by Williams and Zipser.
What is a selective-attention network Explain with a neat sketch.
Write a short note on storage capacity of Hopfield networks.
8. What is Supervised learning and Unsupervised learning? Differentiate between the two of them.
Define Pocket algorithm. Write down the steps of Pocket algorithm.
Write the Back Propagation algorithm.
10. Write short notes on any two of the following:
Polynomial Network
Multilevel Discrimination
Madalines
Explain perception with examples.
Explain the Perceptron Training algorithm with suitable examples.
Explain the performance of neural networks based on computational resources.
Explain the application of neural networks in the field of forecasting.
4. Explain Boltzmann Machines as a generalization of Hopfield Networks.
Calculate the Hamming distances between stored vectors and input vectors using diagram.
Write the simple competitive learning algorithm.
Explain the recurrent network with hidden nodes, to which Williams and Zipser's training procedure can be applied.
Write the steps for supervised training algorithm for a network proposed by Williams and Zipser.
What is a selective-attention network Explain with a neat sketch.
Write a short note on storage capacity of Hopfield networks.
8. What is Supervised learning and Unsupervised learning? Differentiate between the two of them.
Define Pocket algorithm. Write down the steps of Pocket algorithm.
Write the Back Propagation algorithm.
10. Write short notes on any two of the following:
Polynomial Network
Multilevel Discrimination
Madalines
Other Question Papers
Departments
- Centre for Corporate Education, Training & Consultancy (CCETC)
- Centre for Corporate Education, Training & Consultancy (CCETC)
- National Centre for Disability Studies (NCDS)
- School of Agriculture (SOA)
- School of Computer and Information Sciences (SOCIS)
- School of Continuing Education (SOCE)
- School of Education (SOE)
- School of Engineering & Technology (SOET)
- School of Extension and Development Studies (SOEDS)
- School of Foreign Languages (SOFL)
- School of Gender Development Studies(SOGDS)
- School of Health Science (SOHS)
- School of Humanities (SOH)
- School of Interdisciplinary and Trans-Disciplinary Studies (SOITDS)
- School of Journalism and New Media Studies (SOJNMS)
- School of Law (SOL)
- School of Management Studies (SOMS)
- School of Performing Arts and Visual Arts (SOPVA)
- School of Performing Arts and Visual Arts(SOPVA)
- School of Sciences (SOS)
- School of Social Sciences (SOSS)
- School of Social Work (SOSW)
- School of Tourism & Hospitality Service Sectoral SOMS (SOTHSM)
- School of Tourism &Hospitality Service Sectoral SOMS (SOTHSSM)
- School of Translation Studies and Training (SOTST)
- School of Vocational Education and Training (SOVET)
- Staff Training & Research in Distance Education (STRIDE)
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