Neural Network I: Fundamental Theory and Applications (CSA01)
(For Graduate School)
  • Year: 1st and 2nd
  • Quarter : 1st
  • Time: Wed-1, Wed-2
  • Meeting Place : M12

Instructor:

Course Description:

A system must have at least three abilities in order to be intelligent: The goal of neural network research is to realize an artificial intelligent system using the human brain as the model. Accordingly, there are three basic problems in this area: This course introduces the basic models, learning algorithms, and some applications of neural networks. After this course, we should be able to know how to use neural networks for solving different problems related to pattern recognition, function approaximation, data visualization, and so on.

Course objectives:

In this course, we will study the following topics:

Class Schedule:

Class Schedule
Class ID Date and Time Contents
1 April 9, 9:00 - 10:30 Introduction
2 April 9, 10:40 - 12:10 Fundamental concepts: neuron models and basic learning rules
3 April 16, 9:00 - 10:30 Team project I: Learning of a single neuron and single layer neural networks
  • Part one: Learning of a singale neuron
  • Part two: Learning of single layer neural networks
  • 4 April 16, 10:40 - 12:10 Multilayer neural networks and back-propagation
    5 April 23, 9:00 - 10:30 Team Project II: Learning of multilayer neural networks
    6 April 23, 10:40 - 12:10 Associative memory
    7 April 30, 9:00 - 10:30 Team Project III: Image restoration based on associate memory
    8 April 30, 10:40 - 12:10 Self-organizing neural networks
    9 May 7, 9:00 - 10:30 Team Project IV: Learning of self-organizing neural network
    10 May 7, 10:40 - 12:10 Self-organizing feature map
    11 May 14, 9:00 - 10:30
  • Team Project V: Data visualization with self-organizing feature map
  • Data for Project V
  • 12 May 14, 10:40 - 12:10 RBF neural networks and support vector machines
    13 May 28, 9:00 - 10:30 Team Project VI: SVM based learning
    14 May 28, 10:40 - 12:10 Neural Network Trees
    15 June 4, 9:00 - 10:30 Team Project VII: Neural network tree based learning
    16 June 11, 9:00 - 10:30 Presentation of project results.

    References:

    Evaluation: