Neural Network/Neural Computation

Spring semester, 2008

Timetable:

• Lecture: Thursday, 9-11 am, PEV 1 1A06 
• Reading Week: Week 5

§ Seminars: 

1. 3^rd year: Thursday 11-12am, Chichester 1 CI003

2. Msc: Monday 14-16 pm, Chichester 1 CI204/5

Tutor: Mr. Thomas Baker, tb35@sussex.ac.uk

• Office Hour: Thursday 14-16 pm, PEV III 5c7

Lecture Notes

• Introduction to the Course
• Basic Concepts of Neural Networks 
• Single Layer Perceptron
• Gradient Descent Training Algorithm
• Multi-Layer Perceptron
• General Issues in Neural Networks
• Radial Basis Function Networks
• Principle Component Analysis
• Support Vector Machine
• Advanced Issues on SVM

Seminar Notes:

§ Seminar 1

§ Seminar 2 + MLP + RBFNN

Assignment1 (due in Thursday 4pm, week 5)

Assignment2

3^rd: Thursday 4pm, week 10

Msc: Monday 12pm, week 1 of the summer term

Reading List:

1. S. Haykin (1999). Neural networks. Prentice Hall International.
2. C. Bishop (1995). Neural networks for pattern recognition. Oxford: Clarendon Press
3. R.Duda and P. Hart and D. Stork (2001).Pattern Classification, John Wiley.
J. Hertz, A. Kroghand R. Palmer. Introduction to the theory of neural computation

5. B. Ripley (1996). Pattern Recognition and Neural Networks. Cambridge University Press.

6. B. Muller and J. Reihardt (1991). Neural Networks: An Introduction, Springer-Verlag Berlin.

Materials for Matlab:

• Tutorial from University of Utah

• Tutorial from Carnegie Mellon University