One Day Workshop on “ Artificial Neural Networks and its applications ”
One Day Workshop on 26 August 2019 on the topic “ Artificial Neural Networks and its applications ” organised by IEEE student Branch and Department of Electrical Engineering, Poornima College of Engineering, Jaipur Rajasthan, India, from 8.30 am till 3.00 pm
One Day Workshop on 26 August 2019 on the topic “ Artificial Neural Networks and its applications ”
“Artificial Neural Networks and its Applications” is very useful tool for all budding Technocrats.
The detail contents of the topic to be covered in the present workshop is as follows :
- Basic Introduction
- Mapping from BNN to ANN.
- Basic Building blocks of ANN
[A] Network Architecture
[B] Setting the weights
- Learning
- Supervised
- Unsupervised
[C] Activation Functions
- Supervised Learning
[1] Feedforward Net : Perceptron /Adaline ,Madline /Backpropogation
[2] Feedback Net : LVQ (Linear Vector Quantization )
- Unsupervised Learning
[1] Feedforward Net : (CPN )Counter propagation
[2] Feedback Net : Associative Memory Networks
Date and Time
Location
Hosts
Registration
- Date: 26 Aug 2019
- Time: 08:20 AM to 03:00 PM
- All times are (GMT+05:30) Asia/Calcutta
-
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- poornima college of Engineering
- Jaipur Rajasthan
- jaipur, Rajasthan
- India 302022
- Building: ISI-6 RIICO Institutional Area, Sitapura
- Room Number: Jaipur
- Click here for Map
- Contact Event Host
-
Dr HIMANI GOYAL SHARMA, IEEE Branch Counsellor
Department of Electrical Engineering
Poornima College of Engineering, Jaipur (Rajasthan)
Contact no. +91-9676974176
- Survey: Fill out the survey
- Starts 24 August 2019 11:34 PM
- Ends 26 August 2019 09:34 AM
- All times are (GMT+05:30) Asia/Calcutta
- No Admission Charge
Speakers
Dr Himanshu Chaudhary,Associate Professor, Department of Electroincs and Communications Engineering, Manipal University of Manipal University
Artificial Neural Networks and its Applications
“Artificial Neural Networks and its Applications” is very useful tool for all budding Technocrats.
The detail contents of the topic to be covered in the present workshop is as follows :
- Basic Introduction
- Mapping from BNN to ANN.
- Basic Building blocks of ANN
[A] Network Architecture
[B] Setting the weights
- Learning
- Supervised
- Unsupervised
[C] Activation Functions
- Supervised Learning
[1] Feedforward Net : Perceptron /Adaline ,Madline /Backpropogation
[2] Feedback Net : LVQ (Linear Vector Quantization )
- Unsupervised Learning
[1] Feedforward Net : (CPN )Counter propagation
[2] Feedback Net : Associative Memory Networks
Biography:
Profile:
Dr. Himanshu Chaudhary received his B.E. in Electronics and Telecommunication from Amravati University, Amravati, India in 1996, M.E. in Automatic Controls and Robotics from M.S. University, Baroda, Gujarat, India in 2000 and PhD in (Robotics) from IIT Roorkee, Uttarakhand, India in 2015. He also served as an Assistant Lecturer in BITS Pilani from 2000-2003.Presently he is working as Associate Professor (ECE) at Manipal University Jaipur, India. He has more than 21 years of experience of teaching as well as industry.He has published numerous researchpapers in various Journals/conferences of repute.He is a regular reviewer of various journals of Elsevier, springer and Taylor and Fransis etc. He is having certifications in various front end softwares like Powerbuilder, Developer 2000 as well as on Back end tools like Oracle.He is a certified CISCO Trainer also. His area of interest includes industrial robotics, Microbotics, Sensors designing and development for various robotics applications, computer networks and smart embedded systems. Currently he is guiding 5 PhD students.
Email:
Address:poornima College of Engineering, ISI-6 RIICO Institutional Area, Sitapura, Jaipur, Rajasthan, Jaipur, Rajasthan, India, 302022
Agenda
One Day Workshop on 26 August 2019 on the topic “ Artificial Neural Networks and its applications ”
One Day Workshop on 26 August 2019 on the topic “ Artificial Neural Networks and its applications ”