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Artificial Neural Networks made easy with the FANN library

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28 Aug 2013CPOL24 min read 194.2K   10.6K   206  
Neural networks are typically associated with specialised applications, developed only by select groups of experts. This misconception has had a highly negative effect on its popularity. Hopefully, the FANN library will help fill this gap.
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>struct fann_train_data</H1
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><H2
>Name</H2
>struct fann_train_data&nbsp;--&nbsp;Describes a set of training data.</DIV
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><P
>&#13;	    This structure is subject to change at any time. If you need to use the values contained herein, please
	    see the <A
HREF="x609.html"
>Training Data</A
> functions. If these functions do not
	    fulfill your needs, please open a feature request on our SourceForge
	    <A
HREF="http://www.sourceforge.net/projects/fann"
TARGET="_top"
>project page</A
>.
	  </P
><P
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><DIV
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><B
>Properties</B
></P
><DL
><DT
><SPAN
CLASS="type"
>unsigned int</SPAN
>
                <VAR
CLASS="varname"
>errno_f</VAR
></DT
><DD
><P
>The type of error that last occurred.</P
></DD
><DT
><SPAN
CLASS="type"
>FILE *</SPAN
>
                <VAR
CLASS="varname"
>error_log</VAR
></DT
><DD
><P
>Where to log error messages.</P
></DD
><DT
><SPAN
CLASS="type"
>char *</SPAN
>
                <VAR
CLASS="varname"
>errstr</VAR
></DT
><DD
><P
>A string representation of the last error.</P
></DD
><DT
><SPAN
CLASS="type"
>unsigned int</SPAN
>
                <VAR
CLASS="varname"
>num_data</VAR
></DT
><DD
><P
>The number of sets of data in the array.</P
></DD
><DT
><SPAN
CLASS="type"
>unsigned int</SPAN
>
                <VAR
CLASS="varname"
>num_input</VAR
></DT
><DD
><P
>The number of inputs per set of data.</P
></DD
><DT
><SPAN
CLASS="type"
>unsigned int</SPAN
>
                <VAR
CLASS="varname"
>num_output</VAR
></DT
><DD
><P
>The number of outputs per set of data.</P
></DD
><DT
><SPAN
CLASS="type"
>fann_type **</SPAN
>
                <VAR
CLASS="varname"
>input</VAR
></DT
><DD
><P
>&#13;		  An array of <VAR
CLASS="varname"
>num_data</VAR
> elements, each of which contain an array of
		  <VAR
CLASS="varname"
>num_input</VAR
> elements, which represent every item of input data.
		</P
></DD
><DT
><SPAN
CLASS="type"
>fann_type **</SPAN
>
                <VAR
CLASS="varname"
>input</VAR
></DT
><DD
><P
>&#13;		  An array of <VAR
CLASS="varname"
>num_data</VAR
> elements, each of which contain an array of
		  <VAR
CLASS="varname"
>num_output</VAR
> elements, which represent every item of output data.
		</P
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