INTRODUCTION OF NEURAL NETWORK

EE5904/EE5404 Neural Network

2014/1/16

EE5904/ME5404 Neural Networks

Lecture 1

EE5904R/ME5404:
Neural Networks
Xiang Cheng
Associate Professor
Department of Electrical & Computer Engineering
The National University of Singapore
Phone: [phone] Office: Block E4-08-07
Email: [e-mail]

EE5904/ME5404 Neural Networks

1

Lecture 1

Lecturers
•Dr. Xiang Cheng
•Dr. Chen Chao Yu, Peter, Dept. of Mechanical Engineering, NUS

Teaching Assistant
•Ramesh Bharath
Office: Control and Simulations Lab, E4A-03-04
Tel:

65164404

Email: [e-mail]

2

1

EE5904/EE5404 Neural Network

2014/1/16

EE5904/ME5404 Neural Networks

Lecture 1

Assessment:
•Continuous Assessment (CA):

40%

•20% three assignments from Dr. Xiang.
•20% mini-projects from Dr. Chen.
•Final Exam:

60%, 7 May, 2014

•Four compulsory questions; Closed book (One A4 data sheet allowed)

Simulation Tools: MATLAB with NEURAL NETWORK toolbox
If you do not have access to MATLAB, please visit the PC clusters at Engineering: http://www.eng.nus.edu.sg/eitu/pc.html 3

EE5904/ME5404 Neural Networks

Lecture 1

Textbook:
EE5904R/ME5404 NEURAL NETWORKS

Neural Networks and Learning
Machines:
International
Version, 3/e
Author

: Simon Haykin

Publisher : Pearson
ISBN

: 9780131293762
Available at NUS Co-op @
Forum !!
4

2

EE5904/EE5404 Neural Network

2014/1/16

EE5904/ME5404 Neural Networks

Lecture 1

What should you expect from this module?
4

Learning Objectives
Introduce the students to fundamental concepts and applications of artificial neural networks:

1.

To understand the structures and learning processes of artificial neural networks; Human brain computes in a very different way from PC…

2.

To learn the significance of neural computing technology and its application to real world pattern classification and regression problems;

3.

To experience the use of simulation tool