Monthly Archives: April 2016

SC theory Question Bank

  • Neural networks
    1. Explain linearly separable and non-separable pattern with examples.
    2. Explain error back propogation algorithm with the help of flowchart.
    3. Determine the weights after one iteration for Hebbian learning of a single neuron network starting with initial weight vector as W=[1 -1 0 0.5], input as x1=[1 -2 1.5 0], x2=[1 -0.5 -2 -1.5], x3=[0 1 -1 1.5] and c=1 using single bipolar binary activation function.
    4. Explain Perceptron Convergence theorem for Single layer perceptron.
    5. Radial basis function networks.
    6. Printed character recognition as an application of NN
    7. Explain Mc-Culloh Pitts Neuron model with example.
    8. A neuron with 4 inputs has the weight vector w=[1 2 3 4], the activation function is linear as f(net)=2*net. If the input vector is x=[5 6 7 8] then find the output of neuron.
    9. What is leaning rule? Compare different learning rules.
    10. A single neuron network using f(net)=sgn(net) has been train using following pairs of (Xi, Di)

X1={1 -2 3 -1} D1=-1, X2={0 -1 2 -1} D2=1, X3={-2 0 -3 -1} D3=-1

The weights obtain by perceptron learning rule are W4={3 2 6 1} where C=1

Determine the W3, W2, W1 by backtracking the training.

Determine W5, W6, W7 obtained from training further using same set of (Xi, Di)

  1. Explain with example Perceptron learning rule/ training algorithm.
  2. Explain supervised and unsupervised learning.
  3. Describe the Hopfield model.
  4. Explain architecture, storage and retrieval of pattern in BAM.
  5. For unipolar cont activation function f(net)=O(1-O) and for bipolar cont activation function f(net)=O(1-O2)/2
  • Fuzzy set theory
    1. Explain properties/ (support, core, Normality, crossover points) and alpha cut set of fuzzy set theory with examples.
    2. Draw fuzzy set using trapezoidal membership functions for “number close to 10”.
    3. Using Mamdani fuzzy model, design a fuzzy controller to determine the wash time of domestic washing machine. Assume that the inputs are dirt and grease on cloth. Use three descriptors for each input variables and five descriptors for the output variable. Derive set of rules for the control action and defuzzification. The design should be supported by figures wherever possible. Clearly state the time required for high dirt and grease on cloth.
    4. Let A={a1,a2}, B={b1,b2,b3},C={c1,c2}

Let R be relation defined on A & B as

  b1 b2 b3
a1 0.4 0.5 0
a2 0.2 0.8 0.2

Let S be relation between B & C as

  c1 c2
b1 0.2 0.7
b2 0.3 0.8
b3 1 0

Find Max-Min composition of R & S, Max-Product Composition of R & S.

  1. Explain fuzzy extension principle with example.
  2. High speed rail monitoring devices sometimes makes use of sensitive sensors to measure the deflection of the earth when the rail car passes. These deflections are measure wrt to some distance from the rail car and hence are actually very low in angle (in microradians). Let a universe of deflection be A={1 2 3 4} where A is the angle of microradians and let the universe of distance be D={1 2 5 7} where D is the distance in feet. The relation S between A & D given as
  D1 D2 D3 D4
A1 1 0.3 0.1 0
A2 0.2 1 0.3 0.1
A3 0 0.7 1 0.2
A4 0 0.1 0.4 1

Now a let a universe of rail car weights be W={1 2} where w is the weight in units of 10000 pounds. Suppose that relation between W & A is given by

  w1 W2
a1 1 0.4
a2 0.5 1
A3 0.3 0.1
A4 0 0

Then find T=Transpose of R o S using Max-min composition, using max-product composition.

  1. Design a fuzzy controller for a train leaving a station. The inputs are the distance from the station and speed of the train. The output is the amount of release of break power. Use four descriptors each using Mamdani fuzzy model.
  2. Different Fuzzy membership functions.
  3. What is defuzzification? What are the methods of defuzzification
  4. FIS using Mamdani model.
  • Hybrid Systems
    1. Draw ANFIS architecture for Sugeno fuzzy model.
    2. Explain ANFIS with neat diagram.
  • Genetic Algorithms
    1. Explain major components of GA.
    2. Explain GA with help of example.
    3. Explain different operators along with their subtypes in GA.
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WP submission (post#2)

  1. All students should submit their journal by 16th April 2016 or by 20th April 2016.
  2. Internal viva (for assigning grades for file while submission) will be held on 20th April 2016 of A,B and C batch, hence study & be prepared after 2.00 pm.
  3. All defaulters (refer departmental notice board) should solve any 2 questions from each topic from following list
  • Introduction to web technologies
    1. Three tier architecture of web
    2. Web services
    3. GET vs POST
    4. Need of the web server? How to administrate web server.
    5. Issues in web designing.
    6. Client side programming vs server side programming in web technology.
    7. What is URL and explain working of DNS
    8. What is web service, how it is different from web site.
  • HTML 5.0
    1. HTML code to display class timetable.
    2. HTML4 Vs HTML5
    3. Links ih HTML with example.
    4. Explain <form>, <table>, <iframe>, <doctype> tags
    5. HTML code to illustrate types of lists.
    6. To create customer registration form.
    7. What is difference between <span> and <div>
  • CSS
    1. What is CSS? What are the ways to include CSS in HTML file.
  • JavaScript
    1. JavaScript built in objects
    2. JavaScript Window and Document object.
    3. JavaScript code to validate a form which accepts name, date of birth, email and phone number of student.
    4. JS code to display today’s day (eg. Sunday, Monday)
    5. JS code to display table of 5 from 1 to 20 using while loop.
    6. JS code to display today’s date and time.
    7. JS code to change background of webpage continuously.
    8. Event handling using JS
    9. JS code to set a cookie
    10. Any three mouse events.
    11. JS code to change background color of web page after selecting color from drop down list.
  • Jquery
    1. What is JQuery and explain how to use JQuery to validate a form.
  • net
    1. net code to insert new record (name, date of birth, email, phone number of student) in database using C#.
    2. Life cycle of ASP.net application.
    3. Display today’s date and time using ASP.net
  • JSP
    1. Differentiate between JSP and Servlet.
    2. Life cycle of JSP.
    3. JDBC with example.
    4. JSP code to read students data (roll number, name, email, marks) from database and display in tabular format on web page.
    5. JSP code display today’s date.
  • Servlet
    1. Life cycle of servlets.
  • PHP
    1. What is session tracking and explain ways of doing session tracking.
    2. Session tracking using cookies
    3. PHP string functions.
    4. Control structures in PHP (if-else, for, foreach, while, do-while, break, continue, switch, return, include, include_once, require, require_once, goto)
  • XML
    1. XSLT with example
    2. What is valid XML document? Design a XML document for address book.
    3. XML vs HTML
    4. XML DTD
    5. XML attributes and elements
    6. Short note on XSL with example
  • Other topics
    1. What is AJAX?
    2. Short note on RSS

you can refer above Question bank for final theory exam (paper solution of which will be provided shortly on blog)