<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN"> <HTML ><HEAD ><TITLE >Options</TITLE ><link href="../style.css" rel="stylesheet" type="text/css"><META NAME="GENERATOR" CONTENT="Modular DocBook HTML Stylesheet Version 1.7"><LINK REL="HOME" TITLE="Fast Artificial Neural Network Library" HREF="index.html"><LINK REL="UP" TITLE="API Reference" HREF="c253.html"><LINK REL="PREVIOUS" TITLE="fann_duplicate_train_data" HREF="r922.html"><LINK REL="NEXT" TITLE="fann_print_parameters" HREF="r940.html"></HEAD ><BODY CLASS="section" BGCOLOR="#FFFFFF" TEXT="#000000" LINK="#0000FF" VLINK="#840084" ALINK="#0000FF" ><DIV CLASS="NAVHEADER" ><TABLE SUMMARY="Header navigation table" WIDTH="100%" BORDER="0" CELLPADDING="0" CELLSPACING="0" ><TR ><TH COLSPAN="3" ALIGN="center" >Fast Artificial Neural Network Library</TH ></TR ><TR ><TD WIDTH="10%" ALIGN="left" VALIGN="bottom" ><A HREF="r922.html" ACCESSKEY="P" >Prev</A ></TD ><TD WIDTH="80%" ALIGN="center" VALIGN="bottom" >Chapter 5. API Reference</TD ><TD WIDTH="10%" ALIGN="right" VALIGN="bottom" ><A HREF="r940.html" ACCESSKEY="N" >Next</A ></TD ></TR ></TABLE ><HR ALIGN="LEFT" WIDTH="100%"></DIV ><DIV CLASS="section" ><H1 CLASS="section" ><A NAME="api.sec.options" >5.5. Options</A ></H1 ><DIV CLASS="TOC" ><DL ><DT ><B >Table of Contents</B ></DT ><DT ><A HREF="r940.html" >fann_print_parameters</A > -- Prints all of the parameters and options of the ANN.</DT ><DT ><A HREF="r954.html" >fann_get_training_algorithm</A > -- Retrieve training algorithm from a network.</DT ><DT ><A HREF="r972.html" >fann_set_training_algorithm</A > -- Set a network's training algorithm.</DT ><DT ><A HREF="r993.html" >fann_get_learning_rate</A > -- Retrieve learning rate from a network.</DT ><DT ><A HREF="r1007.html" >fann_set_learning_rate</A > -- Set a network's learning rate.</DT ><DT ><A HREF="r1024.html" >fann_get_activation_function_hidden</A > -- Get the activation function used in the hidden layers.</DT ><DT ><A HREF="r1040.html" >fann_set_activation_function_hidden</A > -- Set the activation function for the hidden layers.</DT ><DT ><A HREF="r1060.html" >fann_get_activation_function_output</A > -- Get the activation function of the output layer.</DT ><DT ><A HREF="r1076.html" >fann_set_activation_function_output</A > -- Set the activation function for the output layer.</DT ><DT ><A HREF="r1096.html" >fann_get_activation_steepness_hidden</A > -- Retrieve the steepness of the activation function of the hidden layers.</DT ><DT ><A HREF="r1112.html" >fann_set_activation_steepness_hidden</A > -- Set the steepness of the activation function of the hidden layers.</DT ><DT ><A HREF="r1133.html" >fann_get_activation_steepness_output</A > -- Retrieve the steepness of the activation function of the output layer.</DT ><DT ><A HREF="r1149.html" >fann_set_activation_steepness_output</A > -- Set the steepness of the activation function of the output layer.</DT ><DT ><A HREF="r1170.html" >fann_set_train_error_function</A > -- Sets the training error function to be used.</DT ><DT ><A HREF="r1191.html" >fann_get_train_error_function</A > -- Gets the training error function to be used.</DT ><DT ><A HREF="r1209.html" >fann_get_quickprop_decay</A > -- Get the decay parameter used by the quickprop training.</DT ><DT ><A HREF="r1224.html" >fann_set_quickprop_decay</A > -- Set the decay parameter used by the quickprop training.</DT ><DT ><A HREF="r1242.html" >fann_get_quickprop_mu</A > -- Get the mu factor used by quickprop training.</DT ><DT ><A HREF="r1257.html" >fann_set_quickprop_mu</A > -- Set the mu factor used by quickprop training.</DT ><DT ><A HREF="r1275.html" >fann_get_rprop_increase_factor</A > -- Get the increase factor used by RPROP training.</DT ><DT ><A HREF="r1290.html" >fann_set_rprop_increase_factor</A > -- Get the increase factor used by RPROP training.</DT ><DT ><A HREF="r1308.html" >fann_get_rprop_decrease_factor</A > -- Get the decrease factor used by RPROP training.</DT ><DT ><A HREF="r1323.html" >fann_set_rprop_decrease_factor</A > -- Set the decrease factor used by RPROP training.</DT ><DT ><A HREF="r1341.html" >fann_get_rprop_delta_min</A > -- Get the minimum step-size used by RPROP training.</DT ><DT ><A HREF="r1356.html" >fann_set_rprop_delta_min</A > -- Set the minimum step-size used by RPROP training.</DT ><DT ><A HREF="r1374.html" >fann_get_rprop_delta_max</A > -- Get the maximum step-size used by RPROP training.</DT ><DT ><A HREF="r1389.html" >fann_set_rprop_delta_max</A > -- Set the maximum step-size used by RPROP training.</DT ><DT ><A HREF="r1407.html" >fann_get_num_input</A > -- Get the number of neurons in the input layer.</DT ><DT ><A HREF="r1422.html" >fann_get_num_output</A > -- Get number of neurons in the output layer.</DT ><DT ><A HREF="r1437.html" >fann_get_total_neurons</A > -- Get the total number of neurons in a network.</DT ><DT ><A HREF="r1452.html" >fann_get_total_connections</A > -- Get the total number of connections in a network.</DT ><DT ><A HREF="r1467.html" >fann_get_decimal_point</A > -- Get the position of the decimal point.</DT ><DT ><A HREF="r1483.html" >fann_get_multiplier</A > -- Get the multiplier.</DT ></DL ></DIV ></DIV ><DIV CLASS="NAVFOOTER" ><HR ALIGN="LEFT" WIDTH="100%"><TABLE SUMMARY="Footer navigation table" WIDTH="100%" BORDER="0" CELLPADDING="0" CELLSPACING="0" ><TR ><TD WIDTH="33%" ALIGN="left" VALIGN="top" ><A HREF="r922.html" ACCESSKEY="P" >Prev</A ></TD ><TD WIDTH="34%" ALIGN="center" VALIGN="top" ><A HREF="index.html" ACCESSKEY="H" >Home</A ></TD ><TD WIDTH="33%" ALIGN="right" VALIGN="top" ><A HREF="r940.html" ACCESSKEY="N" >Next</A ></TD ></TR ><TR ><TD WIDTH="33%" ALIGN="left" VALIGN="top" >fann_duplicate_train_data</TD ><TD WIDTH="34%" ALIGN="center" VALIGN="top" ><A HREF="c253.html" ACCESSKEY="U" >Up</A ></TD ><TD WIDTH="33%" ALIGN="right" VALIGN="top" >fann_print_parameters</TD ></TR ></TABLE ></DIV ></BODY ></HTML >
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