2 Day Workshop – Artificial Neural Networks with MATLAB Implementation

Two Days National Workshop
On
Artificial Neural Networks with MATLAB Implementation
January 24-25, 2020
Organized by
Department of Computer Science, Gurukula Kangri Vishwavidyalaya, Haridwar

 

Register Now: Click Here

ABOUT THE WORKSHOP

The motive behind organizing such workshop is to acquaint the researchers with the mathematical tool available for research and their application like MATLAB and exposing the participants to contemporary research methodologies. Artificial Neural Network (ANN) is a computational model that is based on a machine learning technique. It works like a human brain neuron system. It is inspired by networks of biological neurons, wherein the neurons compute output values from inputs. It learns from its past experience and errors in a non-linear parallel processing manner. The neuron is the basic calculating elements which computes from a number of inputs and deliver one output comparing with threshold value and turned on (fired). A neural network can be trained to perform particular function by adjusting the values of the connections(weights) between elements. It will be demonstrated during hands on training session, how to select the data, train, validate, test and evaluate the outputs of neural networks with the help of suitable examples. The original goal of the using the ANN was to solve problems in the same way that a human brain would. However, ANNs are now widely used as classifier in a variety of tasks, including computer visionspeech recognitionmachine translationsocial network filtering, playing board and video gamesmedical and cancer diagnosis and even in activities that have traditionally been considered as reserved to humans, like painting.

The objective of this workshop is to provide basic knowledge of ANN and train the participants to write MATLAB code to solve ANN problems. This workshop is relevant to the thrust area of Science & Engineering and related fields like Computer Science, Information Technology, Management, Data Science and Computer Applications. This workshop is expected to help the academic, research and non-academic community.

WHO CAN ATTEND

Workshop is open to faculty members/research scholars from colleges/universities and industry personnel working in the concerned/allied discipline. Participants may send the scanned registration form along with receipt of payment to [email protected], [email protected]  

For any inquiry, please contact to 9719004480,  9319777952, 9897731079

REGISTRATION FEE (50 seats on first-come-first-serve basis)

  • Faculty/Scientist/Industrial Person                                                                       1500/-
  • Research Scholars/Ph. D. Students                                                                          800/-

 

(Note: Registration fee includes Workshop Kit, Tea & Lunch)

Mode of Payment : Cash/Net-banking/NEFT/DD (Account details are given in registration form)

Last Date of Registration is 22 January, 2020

For online Registration click on Registration Link

 

Resource Person: Dr. M. P. Singh, Professor and Head, Dr. B. R. Ambedkar University, Agra (UP)

 

Chief Patron
Prof. Roop Kishor ShastriVice-Chancellor
Patron
Prof. Vinod Kumar
Ex Vice-ChancellorProf. Karamjit Bhatia
Dean, Faculty of Technology
Convener
Prof. Vivek  Kumar
Head, Department of Computer Science
Organizing Secretary
Dr. Mahendra Singh Aswal
Assistant Professor, Department of Computer Science
Co-Organizing Secretary
Dr. Krishan Kumar
Assistant Professor, Department of Computer Science

 

 

Organizing Committee

  • Dr. Heman Pathak
  • Dr. Praveena Chaturvedi
  • Dr. Raj Kumar
  • Dr. Neena Gupta
  • Dr. Shwetank
  • Mrs. Savita
  • Mr. Satveer
  • Mr. Abhay Pratap Singh
  • Mr. Amrish

Technical Support Committee

  • Mr. Manish Agarwal
  • Mr. Dwijendra Pant
  • Mr. Sanjay
  • Mr. Ajay
  • Mr. Gopal Singh Rana
  • Mr. Pankaj
  • Ms. Swati Agarwal

Advisory Committee

  • Prof. R. K. Sharma, Thapar Univesrity, Patiala (Punjab)
  • Prof. M C Joshi, Kumaun University, Nainital (UK)
  • Prof. Pankaj Madan, GKV, Haridwar (UK)
  • Prof. Nipur Singh, KGC, GKV, Dehradun (UK)
  • Prof. Rajesh Kumar, Thapar University, Patiala (Punjab)
  • Prof. Vinod Sharma, Jammu University, Jammu (J&K)
  • Dr. Partha Pratim Roy, IIT Roorkee (UK)
  • Prof. M.M.S. Rauthan, HNBGU (Central University, UK)
  • Prof. Ashish Negi, GBPEC, UTU (UK)
  • Prof. Amit Aggarwal, Dr. APJ A Kalam Institute, UTU (UK)
  • Mr. Sunil Kumar, Rodan-Fields, San Ramon, CA, USA
  • Dr. Navneet Gupta, IIT, Roorkee (UK)
  • Mr. Kanjan,  NSW Treasury, Sydney, NSW Australia
  • Prof. Ravindra Singh, MJP Rohilkhand University, Bareilly
  • Prof. Amarjeet, HP University, Shimla

ABOUT HARIDWAR

Haridwar is one of the most popular Hindu pilgrimage places. River Ganges enters the North Indian plains at Haridwar. Haridwar meant as ‘Gateway to Gods’ is also known by the names of Mayapuri, Kapila and Gangadwar. Hindu pilgrims and devotees gather at Haridwar to offer prayers on auspicious occasions. The water of River Ganga is considered so sacred at Haridwar that pilgrims carry back the water from the Ganges. It is also a point of entry to Dev Bhoomi and Char Dham- Badrinath, Kedarnath, Gangotri and Yamunotri. Haridwar is also one of the four places; where Kumbh Mela occurs after rotation of every twelve years and Ardh Kumbh after every six years. It is said that drops of Amrit (Elixir) fell into the Brahmkund of Har-Ki-Pauri, where lakhs of pilgrims use to take holy dips every year. Haridwar fascinates the visitors by the mystic aura, mythology and yogic meditation. Haridwar has not only remained the abode of the weary in body, mind and spirit but also served as centre of attraction for many, for learning the arts science and culture. Haridwar’s long-standing position as an excellent source for Ayurvedic medicines and herbal remedies as well as its unique Gurukula school of traditional education, the scenic beauty and lush greenery. The Rajaji National Park is around 10 km from Haridwar. It’s an ideal destination for wild life and adventure lovers.

Haridwar as today is not only considered a place of religious importance but also it has another temple of modern civilization, i.e. BHEL, a ‘Navratna PSU’ to its credit apart from Integrated Industrial Estate (IIE) established at Haridwar under SIIDCUL spread in total area of about 2034 acres. The IIT Roorkee at Roorkee is one of the oldest and prestigious institutes of learning in the fields of science and engineering. Another prominent university of the district, i.e. Gurukula Kangri Vishwavidyalaya having vast campus is imparting oriental and traditional educations of its kind besides that of sciences and technology. Dehradun and Rishikesh are two  nearby towns.

ABOUT GURUKULA KANGRI VISHWAVIDYALAYA

Gurukula Kangri Vishwavidyalaya is a deemed to be university fully funded by the UGC/Govt of India. It was founded on March 4, 1902, by Swami Shraddhanandaji with the sole aim to revive the ancient Indian Gurukula System of education, on the bank of Holy river Ganges at a distance of about 6 km from Haridwar railway station. The distance from National Capital is 200 km. This institution was established with a purpose to provide an indigenous alternative to Lord Macaulay’s education policy by imparting unique blend of education in the areas of Vedic literature, Indian philosophy, Indian ancient culture and modern sciences & engineering. Arya Samaj has been advocating women’s education since the day it was founded. As a part of its policies for the upliftment of women in the country, Kanya Gurukula Campus, Dehradun was established in 1922 by Acharya Ramdev Ji as a second campus of women’s education. In order to give real shape to the dreams of Swami Shraddhanandaji, Kanya Gurukula Campus, Hardwar was established in 1993 as third campus.

ABOUT DEPARTMENT

Gurukula Kangri Vishwavidyalaya, Haridwar has emerged as one of the vital institution for computer education in the country. The Department of Computer Science was established in 1988 with the introduction of Post Graduate Diploma in Computer Applications (PGDCA). In the same year, Computer Science was introduced as a subject at the graduate level. After successful completion of five years of PGDCA, U.G.C. accorded the approval of upgrading PGDCA to MCA in 1993 under UGC-DOE joint workforce training program in Computer Science and Technology. The research program leading to Ph.D. in Computer Science was started in the session 1998-99. The department underwent phenomenal growth in the number of students, quality of faculty, research and computational resources. Research areas includes distributed computing, networks, image processing, machine learning and cloud computing. The department has signed MoU with other institutions for collaborative works.

ACCOMMODATION

Delegates are required to make their own arrangement for stay. However, limited accommodation (on payment ₹ 300/- per bed on twin shared basis) is available in the GKV guesthouse, on first-cum first-serve basis. For accommodation please contact on 7983074685.

 

CONTENTS OF WORKSHOP

Day 1 Pre Lunch Session: Introduction of soft computing & MatLab  (Date : 24-01-2020)

    • Introduction of Soft Computing techniques.
    • General Introduction of MatLab environment.
    • Basic operators and their use
    • Matrix operations with MatLab
  • Elementary mathematical operations
  • Graphics operations of MatLab
  • Programing in MatLab.

Day 1 Post Lunch Session: Introduction of Neural Networks and Matlab operations (Date: 24-01-2020)

    • Introduction of neural networks and its modeling.
    • Different models of artificial neural network, topologies and basic learning laws.
    • Hebbian supervised and unsupervised learning for pattern association with Matlab.
    • Perceptron learning rule for pattern classification & its Matlab implementation.
    • Perceptron learning rule and its application using Matlab.

Day 2 Pre Lunch Session: Theoretical Concepts, mathematical formulation with MATLAB (Date :25-01-2020)

    • Feed forward neural network architecture and generalize pattern classification.
    • Pattern mapping, pattern mapping network, function approximation and Back propagation learning rule.
    • Discussion of Back propagation learning rule and its characteristics with its limitations and enchantments.
    • Implementation for feed forward neural network in MATLAB environment through command window and programming using in built functions for pattern classification, pattern mapping, generalization, approximation and predication.
    • Implementation of Feed forward neural networks for Image recognition in MatLab

Day 2 Post-Lunch Session: Theoretical Concepts, mathematical formulation  with MATLAB (Date:25-01-2020)

    • Feedback neural network, associative memory, Hopfield neural network & its energy functions analysis.
    • Pattern storage and recalling in Hopfield neural networks, concept of stability, global minimum and false minima problem.
    • MATLAB implementation for Hopfield model through programming and command window.
    • Valedictory and feedback

 

 

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