NITTTR ICT based Short Term Course (STC) on
"Artificial Neural Network and Fuzzy Logic"
24-28 April, 2017
Course Objectives:
- To provide concept of Artificial Neural Network and its application in pattern recognition, classification and optimization.
- To provide knowledge of Fuzzy Logic and its applications.
Course Contents:
- Overview of biological and artificial neuron.
- Back propagation algorithm.
- ART network.
- Hopfield network and Self Organizing Map.
- 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)
| Dates | Session 1 9:30-11.00 am | 11.00 am-11.30 am | Session 2 11.30 am -1:00 pm | 1:00 pm - 2.00 pm | Session 3 2.00 pm -4.00 pm |
|---|---|---|---|---|---|
| 24/04/2017 | Registration and Inaugaration | Tea Break | Overview of Neural Network(MD) | Lunch Break | Neural Network architectures(MD) |
| 25/04/2017 | Perceptron(MD) | Tea Break | Back Propagation Network(MD) | Lunch Break | MATLAB Programming for Neural Network(MD) |
| 26/04/2017 | Associative Memory and its applications(RV) | Tea Break | Research examples of Neural Network (HKS) | Lunch Break | Fuzzy Logic and Applications(SS) |
| 27/04/2017 | Adaptive Resonance Theory(MD) | Tea Break | MATLAB Programming for Neural Network(MD) | Lunch Break | Optimization Techniques(MD) |
| 28/04/2017 | Hopfield 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