Matlab is a very powerful tool for mathematical calculation, visualization and programming. In addition to the pure mathematical part of Matlab there are several tool boxes available to expand the capabilities of Matlab, the Neural Network Toolbox (NN Toolbox) is one of these toolboxes.

This tutorial is intended for students unacquainted to Matlab and the neural network toolbox to get practice in using these tools. The contents of this tutorial is more focused toward practical examples and problems than to theory. The reason for this is that most theory is covered in the help files of Matlab itself. In fact, you will not be able to learn Matlab and NN Toolbox with this tutorial alone, you will have to actively explore the documentation and demos available in Matlab. What lacks from Matlab is a set of examples and problems that helps the user to learn to use the tools.

It is assumed that the reader have experience in using UNIX and has basic knowledge in programming and some mathematics.

As you read this tutorial and solve the problems you will discover that no answers are provided for any problems. Instead, the problems are designed such that you will be able to determine yourself, whether you have completed a solution to the problem or not. Most of the problems are preceded with examples of solutions to similar problems. Many problems also have hints for what help files you could access to help you solve the problem.
Matlab是由美國Mathworks公司所推出，名稱為Matrix Laboratory 縮寫而成。
Matlab的主要功能：
數值運算
符號運算（symbolic manipulation）
Simulink（系統的動態模擬）
各種工具箱