Computational Intelligence, SS08
2 VO 442.070 + 1 RU 708.070 last updated:
General
Course Notes (Skriptum)
Online Tutorials
Introduction to Matlab
Neural Network Toolbox
OCR with ANNs
Adaptive Filters
VC dimension
Gaussian Statistics
PCA, ICA, Blind Source Separation
Hidden Markov Models
Mixtures of Gaussians
Automatic Speech Recognition
Practical Course Slides
Homework
Exams
Animated Algorithms
Interactive Tests
Key Definitions
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Neural Network Toolbox

A Tutorial for the Course Computational Intelligence

Matlab Files for SS07

Here you can find the .m files for the first practical lesson : Introduction_to_NNT.zip

Abstract

This tutorial gives an introduction to the Matlab Neural Network Toolbox. The elements of matlab and the neural network toolbox are more easily understood when explained by an example. First a neural network will be used for a classification task. The second example will be a simple logical problem.

Usage

To make full use of this tutorial you have

  1. to download the file

    nnt_intro.zip which contains this tutorial (also a printable PDF file) and the accompanying Matlab programs.

  2. Unzip nnt_intro.zip which will generate a subdirectory named

    nnt_intro where you can find all the Matlab programs.
  3. Add the path nnt_intro to the matlab search path with a command like



    addpath('C:$\backslash$Work$\backslash$nnt_intro')



    if you are using a Windows machine or



    addpath('/home/jack/nnt_intro')



    if you are using a Unix/Linux machine.

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