CE434: NEURAL NETWORKS

This page is for the students taking CE434: Neural Networks during First Semester - 2001/02.

Lectures: Tuesday 8.30-9.30am (LT10)
                 Thursday 1.30-2.30pm (LT10)
                 Friday 1.30-2.30pm  (LT10)

Tutorials: Friday 2.30-3.30pm  (LT10)

Project:   ONE research project
                Intelligence Systems Lab opens for projects on Mondays 2.30-4.30pm.

Final Grading: 75% Final exam
                         25% Research project

Instructor: Assoc. Prof. Jagath Rajapakse
                   Office: Room 2a26, Block N4
                   Office hours: Monday 2.30-4.30pm
                   Tel: 790 5802, Fax: 792 6559
                   Email: asjagath@ntu.edu.sg

The following are available in .pdf format for students taking CE434:

• Brief syllabus

• Texts used

• Course notes
• Ch. 1: Introduction
• Ch. 2: Perceptron
• Ch. 3: Multilayer perceptron (MLP)
• Ch. 4: Radial basis function (RBF) networks
• Ch. 5: Support vector machines (SVMs)
• Ch. 6: Fuzzy networks
• Ch. 7: Hopfield networks
• Ch. 8. Stochastic neural networks
• Ch. 9: Associative memory networks
• Ch. 10: Kohonen's self-organizing networks
• Ch. 11: Adaptive resonance theory (ART) networks
• Ch. 12: Hardware implementation of neural networks

• Tutorials
• T1, T2, T3, T4, T5, T6, T7,T8, T9, T10, T11, T12, Revision
• Project
• Vowel Data

 
• Additional  information
• Experience the left-right conflict of the brain
• Magnetic Resonace Images (MRI) of Human Brain
• What is DNA?

 
• Useful Programs
• Discrete perceptron: Ch. 2, Example
• Analog perceptron: Tute 2, Q2
• Boltzmann machine: Tute 5, Q1
• Markov chain: Tute 5, Q5
• K-means alogorithm
• RBF program (example in notes)
• RBF program (tutorial problem)

 
• Frequently asked questions:
• Mid-term project

You can email your questions to asjagath@ntu.edu.sg

Link to the neurocomputing research group at PPL.

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