📄 help.htm
字号:
<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01//EN" "http://www.w3.org/TR/html4/strict.dtd">
<html>
<head>
<title>Kohonen and CPANN toolbox</title>
<meta http-equiv="content-type" content="text/html; charset=iso-8859-1">
<meta name="generator" content="HAPedit 3.0">
<link href = "style_structure.css" rel="stylesheet" type="text/css">
<link href = "style_text.css" rel="stylesheet" type="text/css">
<link href = "style_tables.css" rel="stylesheet" type="text/css">
</head>
<body>
<div id="container">
<a name="top"></a>
<div id="header">
<iframe src="header.htm" width="740" height="60" scrolling="no" frameborder="0">
no i_frames allowed :: change browser
</iframe>
</div>
<div id="content">
<table width="740" border="0" cellpadding="0" cellspacing="0">
<tr>
<td width="150" valign="top">
<iframe src="menu_lateral.htm" width="135" height="268" scrolling="no" frameborder="0">
no i_frames allowed :: change browser
</iframe>
</td>
<td valign="top">
<div align="justify">
<div id="tab_duo_contenitor" class="text">
<span class="title_page">Kohonen and CPANN toolbox</span><BR>
<BR>
<div id="tab_duo_text">
<div id="tab_space_lateral"><a href="#sub_1" class="lnk_text">What Kohonen and CPANN toolbox is?</a></div>
<div id="tab_space_lateral"><a href="#sub_2" class="lnk_text">Installing the toolbox</a></div>
<div id="tab_space_lateral"><a href="#sub_3" class="lnk_text">Help structure</a></div>
</div>
<BR><a name="sub_1"></a>
<BR>
<span class="title_paragraph">_ What Kohonen and CPANN toolbox is?</span>
<BR>
<BR>
The <strong>Kohonen and CPANN toolbox</strong> is a collection of MATLAB modules for developing Kohonen Maps and Counterpropagation Artificial
Neural networs (CPANNs). These are well known neural networks aimed to the study of data structure (Kohonen Maps) and to
the data classification (CPANNs).
<BR>
<BR>
The toolbox has been tested on matlab 6.5 in Windows XP. MATLAB should be installed, while no other toolboxes are needed.
<BR><BR>
This is the version 1.0 of Kohonen and CPANN toolbox
<BR><BR>
<strong>Kohonen and CPANN toolbox</strong> has been released by <a href="http://www.disat.unimib.it/chm/" target="_blank" class="lnk_text">Milano Chemometrics and QSAR research Group</a> <BR>
<BR>
[<a href="#top" class="lnk_text">-> top</a>]
<BR>
<BR> <a name="sub_2"></a>
<BR>
<span class="title_paragraph">_ Installing the toolbox</span>
<BR>
<BR>
In order to install the toolbox, simply copy the files to a folder (e.g. "Kohonen and CPANN toolbox").
Then, in order to use it, select the same folder as MATLAB current directory.
<BR>
<BR>
[<a href="#top" class="lnk_text">-> top</a>]
<BR>
<BR> <a name="sub_3"></a>
<BR>
<span class="title_paragraph">_ Help structure</span>
<BR>
<BR>
This html help provides some underlying information on Kohonen Maps and CPANNs (see <a href="theory.htm" class="lnk_text">Theory</a> section).
<a href="start.htm" class="lnk_text">How to start</a> explains how to prepare your data and how to handle the Neural Network settings.
Model calculation, analyis of results, prediction of new samples and cross validation are distinctly explained for <a href="kohonen.htm" class="lnk_text">Kohonen Maps</a> and <a href="cpann.htm" class="lnk_text">CPANNs</a>.
A complete list of all the used <a href="routines.htm" class="lnk_text">MATLAB routines</a> is given. An <a href="example.htm" class="lnk_text">example of analysis</a> (on the classical IRIS data set) is shown. Finally, some <a href="references.htm" class="lnk_text">bibliographic references</a> to Kohonen Maps and CPANNs are given. Please, read also the <a href="license.htm" class="lnk_text">license</a> and <a href="web.htm" class="lnk_text">write us</a> if you find bugs or have comments. <BR>
<BR>
[<a href="#top" class="lnk_text">-> top</a>]
<BR>
<BR>
<BR>
<BR>
<BR>
</div>
</div></td>
</tr>
</table>
</div>
<div id="footer">
<iframe src="footer.htm" width="700" height="13" scrolling="no" frameborder="0">
no i_frames allowed :: change browser
</iframe>
</div>
</div>
</body>
</html>⌨️ 快捷键说明
复制代码
Ctrl + C
搜索代码
Ctrl + F
全屏模式
F11
切换主题
Ctrl + Shift + D
显示快捷键
?
增大字号
Ctrl + =
减小字号
Ctrl + -