Neural Network Computing

Course Overview
Interested in learning more of how neural networks can help solve complex problems? This course focuses on how to make neural networks really work for you.

It covers both the theoretical and practical issues of neural network modelling and training, and provides an introduction to neural networks technology and a variety of neural net topologies.
 
Key Takeaways
At the end of the course, you will be able to:
  • Understand the intricacies of neural network computing and its applications in various domains in the diverse application areas
 
Who should attend 
This course is for:
  • IT professionals and specialists interested in exploring and exploiting state-of-the-art neural network architectures in solving a variety of problems in business, engineering and science

What will be covered
  • Basic Concepts of Neural Network
  • Perceptrons; Multi-Layer Feed-Forward Networks with Back-Propagation Learning
  • Radial Basis Function, Reduced Coulomb Energy & Generalised Regression Neural Net Architectures
  • Unsupervised Learning with Kohonen's Self Organising Feature Map
  • Principal Component Analysis Based Hybrid Architectures
  • Introduction to Fuzzy Systems
  • Soft Computing Subsuming Neuro-Fuzzy, Fuzzy-Neural, GA-Neural, Fuzzy-Neural-GA Hybrid Architectures & Applications
  • Generic Applications - Classification & Forecasting
  • Modelling & Problem Solving with Neural Networks
  • Workshops with NeuroShell Tool
   
 Fee
Course Fee S$1444.50
Course fee quoted is inclusive of GST
   

Instructors


Additional Information
  • This course is offered as part of the Master of Technology programme
  • For enquiries, please contact our course administrators at tel : 65162020/2096/5777 or email : isstraining@nus.edu.sg.
  • Programme details are subjected to change without prior notice.