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NITTTR ICT based Short Term Course (STC) on
"Artificial Neural Network and Fuzzy Logic"
24-28 April, 2017

Course Objectives:

  1. To provide concept of Artificial Neural Network and its application in pattern recognition, classification and optimization.
  2. To provide knowledge of Fuzzy Logic and its applications.

Course Contents:

  1. Overview of biological and artificial neuron.
  2. Back propagation algorithm.
  3. ART network.
  4. Hopfield network and Self Organizing Map.
  5. MATLAB implementation of algorithms for various applications.

Course Coordinator:
Dr. Ch. Aparna,
Associate Professor, Department of CSE,
Mail id: [email protected],
Ph:- 9959785795

TIME TABLE FOR ARTIFICIAL NEURAL NETWORK AT NITTTR CHANDIGARH
(24/04/2017-28/04/2017)

DatesSession 1
9:30-11.00 am
11.00 am-11.30 amSession 2
11.30 am -1:00 pm
1:00 pm - 2.00 pmSession 3
2.00 pm -4.00 pm
24/04/2017Registration and InaugarationTea BreakOverview of Neural Network(MD)Lunch BreakNeural Network architectures(MD)
25/04/2017Perceptron(MD)Tea BreakBack Propagation Network(MD)Lunch BreakMATLAB Programming for Neural Network(MD)
26/04/2017Associative Memory and its applications(RV)Tea BreakResearch examples of Neural Network (HKS)Lunch BreakFuzzy Logic and Applications(SS)
27/04/2017Adaptive Resonance Theory(MD)Tea BreakMATLAB Programming for Neural Network(MD)Lunch BreakOptimization Techniques(MD)
28/04/2017Hopfield and RBF Network And MATLAB Solutions(MD) On-Line Test(MD)Valediction


Coordinator Dr. Maitreyee Dutta
MD- Dr. Maitreyee Dutta
RV- Dr. RenuVig, Director UIET, Chandigarh
HKS- Dr. H.K Sardana, Chief Scientist, CSIO, Chandigarh
SS- Mrs. Shano Solanki