Exam Details
Subject | neural networks | |
Paper | ||
Exam / Course | m.c.a./ m.c.a.(lateral) | |
Department | ||
Organization | Alagappa University Distance Education | |
Position | ||
Exam Date | December, 2017 | |
City, State | tamil nadu, karaikudi |
Question Paper
DISTANCE EDUCATION
M.C.A. (S)/M.C.A. (Lateral) DEGREE EXAMINATION,
DECEMBER 2017.
Sixth Semester
NEURAL NETWORKS
(2005 to 2010 Calendar Year)
Time Three hours Maximum 100 marks
Answer any FIVE questions.
x 20 100)
1. Write down the benefits of Artificial Neural
networks.
Describe about the construction of neural networks.
2. Discuss about the applications of neural networks.
Explain about Error correction learning.
3. Describe about unsupervised learning process.
What is meant by adaptation? Explain.
4. Discuss about single layer perceptions. (10
Describe about back propagation networks.
5. Write a note on counter propagation networks.
Discuss about associative memory.
Sub. Code
63
DE-2767
2
Sp 1
6. Explain about hop field network.
Brief a note on bidirectional associative memory.(10)
7. What is an Adaptive neural network? Explain.
Illustrate the architecture of ART.
8. Explain about optical neural network.
Brief a note on cognitron and neocognitron.
M.C.A. (S)/M.C.A. (Lateral) DEGREE EXAMINATION,
DECEMBER 2017.
Sixth Semester
NEURAL NETWORKS
(2005 to 2010 Calendar Year)
Time Three hours Maximum 100 marks
Answer any FIVE questions.
x 20 100)
1. Write down the benefits of Artificial Neural
networks.
Describe about the construction of neural networks.
2. Discuss about the applications of neural networks.
Explain about Error correction learning.
3. Describe about unsupervised learning process.
What is meant by adaptation? Explain.
4. Discuss about single layer perceptions. (10
Describe about back propagation networks.
5. Write a note on counter propagation networks.
Discuss about associative memory.
Sub. Code
63
DE-2767
2
Sp 1
6. Explain about hop field network.
Brief a note on bidirectional associative memory.(10)
7. What is an Adaptive neural network? Explain.
Illustrate the architecture of ART.
8. Explain about optical neural network.
Brief a note on cognitron and neocognitron.
Other Question Papers
Subjects
- .net frame works
- .net lab
- accounting and financial management
- agent based intelligent system
- c-sharp (c#)
- communication skills
- compiler design
- computer applications
- computer networks
- data mining and warehousing
- data warehousing and mining
- distributed computing
- image processing and analysis
- internet programming
- lab : vi — algorithm and shell programming
- lab v — rdbms
- lab vii –– internet programming
- lab viii — network lab
- lab x — compiler design
- lab–ix : visual c++
- middleware technology
- mobile communications
- multimedia systems
- multimedia tools lab
- network lab
- neural networks
- object oriented analysis and design
- open source architecture
- open source programming lab
- operating systems
- rdbms
- resource management techniques
- software engineering
- software project management
- unix and shell programming
- visual programming
- visual programming lab
- web technology
- web technology lab