Dronacharya College of Engineering Gurgaon in collaboration with NITTTR, Chandigarh conducted a five - day short term course on “Artificial Neural Network and Fuzzy Logic” under the National Mission on Education through ICT (NMEICT) from 24th April to 28th April 2017. Twenty - two faculty members from CSE, IT and ECE Department attended the STC. |
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On 24th April 2017, the inauguration was held in presence of Prof. (Dr.) Maitreyee Dutta, Professor, Dept. of Computer Science & Engineering NITTTR Chandigarh. Seventeen institutes from all over India participated in the short term course. Prof. (Dr.) Maitreyee Dutta initiated the short term course by stating “There is no reason and no way that a human mind can keep up with an artificial intelligence machine by 2035.” Then she highlighted the importance of Artificial Intelligence and Neural Network in present scenario and focused on the concept of Artificial Neural Network and its application in pattern recognition, classification and optimization & knowledge of Fuzzy Logic and its applications. |
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During the inaugural address, Dr. Maitreyee Dutta discussed the concepts of neural networks, Characteristics of Neural Networks, Historical Perspective, and Applications of Neural Networks. |
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Post lunch session Dr. Dutta also focused light on the topics such as the biological prototype, Neuron concept, Single layer Neural Networks, Multi - Layer Neural Networks, terminology, Notation and representation of Neural Networks, Training of Artificial Neural Networks. Representation of perceptron and issues, perceptron learning and training. |
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On 25th April 2017, Dr. Dutta started the session with Back propagation: Concept, Applications, and Back Propagation Training Algorithms. Counter Propagation was hot topic of the day. Kohonan Network, Grossberg Layer & Training, applications of counter propagation, Image classification was also discussed by the expert during the session.
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Post lunch session was dedicated to MATLAB Programming for Neural Network. The session was really interactive as participants get chance to do hands on programming in MATLAB platform.
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On 26th April 2017, Dr. Renu Vig, Director UIET, Chandigarhdiscussed the concept of Associative Memory and its applications. Bi-directional Associative Memories: Structure, retrieving a stored association, encoding associations, memory capacity was key topic covered by Dr. Renu. Remaining session was preceded by Dr. H.K Sardana, Chief Scientist, CSIO, Chandigarh. Dr. H.K Sardanafocused light on Research examples of Neural Network.
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Post lunch session was headed by Mrs. Shano Solanki, NITTTR Chandigarh. Fuzzy Logic and Applications was thoroughly discussed in the post lunch session.
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On 27th April 2017, Prof. (Dr.) Maitreyee Dutta, Professor, Dept. of Computer Science & Engineering NITTTR Chandigarh discussed the concept of Adaptive Resonance Theory:
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ART architecture, ART classification operation, ART implementation, and characteristics of ART, Image Compression Using ART. MATLAB Programming for Neural Networkwas also followed by the lectures. Ms. Jagriti, NITTTR Chandigarh headed the post lunch session with discussion on Optimization Techniques.
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On 28th April 2017, Prof. (Dr.) Maitreyee Dutta, Professor, Dept. of Computer Science & Engineering NITTTR Chandigarh discussed Hopfield and RBF Network and MATLAB Solutions. Optical Neural Networks: Vector Matrix Multipliers, Hop field net using Electro optical matrix multipliers, Holographic correlator, Optical Hopfield net using Volume Holograms was also explained in brief.
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Then, the valediction session was chaired by Prof. (Dr.) Maitreyee Dutta, Professor, Dept. of Computer Science & Engineering NITTTR Chandigarh. Attendees and chief guests at all the remote centers shared their experience of the STC and congratulated and thanked NITTTR for having conducted such a useful course. Dr. B. M. K. Prasad, Principal, Dronacharya College of Engineering, Gurgaon thanked and congratulated all the dignitaries from NITTTR and participants from all centers and expressed his gratitude to the chief guests. The STC was concluded by Dr.Dutta with her valedictory speech.
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Overall the STC proved to be very fruitful as the participants learnt a lot about Neural Network and artificial Intelligence.
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