- Home
- Erode
- Kongu Engineering College Events
- One day Workshop with Hands on Training On Neural Networks in Engineering Applications using MATLAB
One day Workshop with Hands on Training On Neural Networks in Engineering Applications using MATLAB, Kongu Engineering College, Erode, Tamil Nadu, 3rd September 2016
View Event Website
- Event Type:
- Venue/Offline Mode
- Start Date :
- 3rd September 2016
- End Date :
- 3rd September 2016
- Location :
- Erode, Tamil Nadu
- Organizer :
- Kongu Engineering College
- Category :
- Workshop
About Event
A great deal of research is going on in Artificial Neural Network worldwide. It plays a major role in solving complex real world application scenarios. Artificial Neural Networks have been developed as generalization of mathematical models of biological nervous systems. Neural Networks are employed to solve problems of non-linear regression, optimization, etc. in the field of Electrical system, Control system, Biomedical image and signal processing. Keeping in view the necessity of Neural Network Applications, this workshop is organized to acquaint the participants with different Scientific Research Methods and Techniques to help them facilitate better decisions and initiate appropriate action programs and interventions. The scope of this programme is to make a brief introduction to models of networks, for then describing in general terms ANNs. As an application, we explain and start with the Back Propagation (BPN) and Radial Basis Function (RBFN) algorithm, since it is widely used and many other algorithms are derived from it. Next, the tuning free algorithm namely Extreme Learning Machine (ELM) will be covered with prediction and classification applications. Also, a Novel online sequential learning ELM algorithm will be discussed and hands on training will be provided. Moreover, the state of the art, fast learning algorithm in the complex valued domain will also be explained and its ability to learn complex valued data will be demonstrated. Thus this workshop will enable the Research scholars, UG/PG students and other academicians to gain thorough knowledge on the implementation of these Neural Network techniques using MATLAB.
By attending this one day Workshop with Hands-on Training, a thinking process effectively emerges to build/develop and design your own idea that paves way to success. With your commitment in this Training, you can enhance your knowledge in Neural Network programming that we taught and you will learn/know how to suite for a system controlled applications.
Events
• Review of Neural Networks: BPN and RBFN
• Extreme Learning Machine (ELM) Algorithm
• Fast Learning Fully Complex Classifiers
• Online-Sequential ELM Algorithm
Hands-on Training using MATLAB for:
 Neural Networks in Fuel Cell: Prediction
 Neural Networks in Wind Profile: Prediction
 Neural Networks in EEG Signal Classification
 Neural Networks in Bio-Informatics
Departments:
CSE ECE IT EEE Instrumentation Chemical Energy Arts Industrial BioTechnology Telecommunication Physics BioMedical Aeronautical Automobile DesignAccommodation
Boarding and Lodging will be arranged for the requested participants at a nominal cost of Rs. 175/-
Related Links:
Workshops Workshops in Tamil Nadu Workshops in Erode Erode Tamil Nadu Kongu Engineering College One day Workshop with Hands on Training On Neural Networks in Engineering Applications using MATLABFeatured Events
-
International Conference on Advancements in Science, Technology and Management ICASTM - 2024
25th Apr 2024
-
Artificial Intelligence Workshop 2024
11th May 2024
-
IoT using Python and Raspberry Pi Workshop 2024
11th May 2024
-
Data Science and Data Visualization using Python Workshop 2024
12th May 2024
-
Deep Learning Workshop 2024
12th May 2024
-
Dot Net Workshop 2024
18th May 2024
-
Python Programming Workshop 2024
19th May 2024
-
Hardware Product Development 2024
25th May 2024
-
Raspberry Pi with Node-red Workshop 2024
25th May 2024
-
WEB (Website) Development Workshop 2024
26th May 2024
-
Two Days Online Workshop on Python Programming with Industrial Perspective 2024
2nd Jun 2024