Jawaharlal Nehru Technological University Anantapur 2010-1st Sem B.Tech Code :R7411009 1 IV (R07) Regular s, ember/ember ARTIFICIAL NEURAL NETWORKS - Question Paper

Code :R7411009 1
IV B.Tech I semester (R07) Regular Examinations, November/December 2010
ARTIFICIAL NEURAL NETWORKS
(Electronics & Instrumentation Engineering)
Time: three hours Max Marks: 80
ans any 5 ques.
All ques. carry equal marks
1. (a) provide a brief description of biological neuron. Compare biological neuron and arti¯cial
neuron
(b) State few applications of ANN'S.
2. (a) discuss McCulloch-Pitts Neuron model.
(b) discuss Delta learning rule.
3. discuss perceptron convergence theorem.
4. What is Adaline? Draw the architecture of Adaline Net? discuss the training algorithm of
Adaline Networks?
5. discuss in detail architecture and its training algorithm used in the full CPN.
6. (a) discuss the discrete Hop¯eld net with its architecture.
(b) explain in detail the energy function used in the continuous Hop¯eld net.
7. (a) discuss the architecture of a bidirectional associative memory network.
(b) Di®erentiate ranging from continuous BAM and discrete BAM.
8. (a) discuss the applications of neural networks in trend recognition.
(b) discuss solving simultaneous linear equations.

Earning:   Approval pending.