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<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN""http://www.w3.org/TR/html4/loose.dtd"><HTML><HEAD><TITLE>Understanding the Error Value</TITLE><link href="../style.css" rel="stylesheet" type="text/css"><METANAME="GENERATOR"CONTENT="Modular DocBook HTML Stylesheet Version 1.79"><LINKREL="HOME"TITLE="Fast Artificial Neural Network Library"HREF="index.html"><LINKREL="UP"TITLE="Advanced Usage"HREF="c104.html"><LINKREL="PREVIOUS"TITLE="Network Design"HREF="x141.html"><LINKREL="NEXT"TITLE="Training and Testing"HREF="x161.html"></HEAD><BODYCLASS="section"BGCOLOR="#FFFFFF"TEXT="#000000"LINK="#0000FF"VLINK="#840084"ALINK="#0000FF"><DIVCLASS="NAVHEADER"><TABLESUMMARY="Header navigation table"WIDTH="100%"BORDER="0"CELLPADDING="0"CELLSPACING="0"><TR><THCOLSPAN="3"ALIGN="center">Fast Artificial Neural Network Library</TH></TR><TR><TDWIDTH="10%"ALIGN="left"VALIGN="bottom"><AHREF="x141.html"ACCESSKEY="P">Prev</A></TD><TDWIDTH="80%"ALIGN="center"VALIGN="bottom">Chapter 2. Advanced Usage</TD><TDWIDTH="10%"ALIGN="right"VALIGN="bottom"><AHREF="x161.html"ACCESSKEY="N">Next</A></TD></TR></TABLE><HRALIGN="LEFT"WIDTH="100%"></DIV><DIVCLASS="section"><H1CLASS="section"><ANAME="adv.errval">2.3. Understanding the Error Value</A></H1><P> The mean square error value is calculated while the ANN is being trained. Some functions are implemented, to use and manipulate this error value. The <AHREF="r577.html"><CODECLASS="function">fann_get_MSE</CODE></A> function returns the error value and the <AHREF="r593.html"><CODECLASS="function">fann_reset_MSE</CODE></A> resets the error value. The following explains how the mean square error value is calculated, to give an idea of the value's ability to reveal the quality of the training. </P><P> If <SPANCLASS="emphasis"><ICLASS="emphasis">d</I></SPAN> is the desired output of an output neuron and <SPANCLASS="emphasis"><ICLASS="emphasis">y</I></SPAN> is the actual output of the neuron, the square error is (d - y) squared. If two output neurons exists, then the mean square error for these two neurons is the average of the two square errors. </P><P> When training with the <AHREF="r806.html"><CODECLASS="function">fann_train_on_file</CODE></A> function, an error value is printed. This error value is the mean square error for all the training data. Meaning that it is the average of all the square errors in each of the training pairs. </P></DIV><DIVCLASS="NAVFOOTER"><HRALIGN="LEFT"WIDTH="100%"><TABLESUMMARY="Footer navigation table"WIDTH="100%"BORDER="0"CELLPADDING="0"CELLSPACING="0"><TR><TDWIDTH="33%"ALIGN="left"VALIGN="top"><AHREF="x141.html"ACCESSKEY="P">Prev</A></TD><TDWIDTH="34%"ALIGN="center"VALIGN="top"><AHREF="index.html"ACCESSKEY="H">Home</A></TD><TDWIDTH="33%"ALIGN="right"VALIGN="top"><AHREF="x161.html"ACCESSKEY="N">Next</A></TD></TR><TR><TDWIDTH="33%"ALIGN="left"VALIGN="top">Network Design</TD><TDWIDTH="34%"ALIGN="center"VALIGN="top"><AHREF="c104.html"ACCESSKEY="U">Up</A></TD><TDWIDTH="33%"ALIGN="right"VALIGN="top">Training and Testing</TD></TR></TABLE></DIV></BODY></HTML>⌨️ 快捷键说明
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