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Artificial Neural Networks made easy with the FANN library

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28 Aug 2013CPOL24 min read 195.3K   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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>fann_read_train_from_file</H1
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>fann_read_train_from_file&nbsp;--&nbsp;Read training data from a file.</DIV
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><code
class="methodsynopsis"
>&#13;  <span
class="type"
>struct fann_train_data * </span
>fann_read_train_from_file(<span
class="methodparam"
><span
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>char * </span
><span
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>filename</span
></span
>);&#13;</code
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>&#13;	    <CODE
CLASS="function"
>fann_read_train_from_file</CODE
>will load training data from a file.
	    The file should be formatted in the following way:
	  </P
><PRE
CLASS="programlisting"
>&#13;
   num_train_data num_input num_output
   inputdata seperated by space
   outputdata seperated by space

   .
   .
   .
   
   inputdata seperated by space
   outputdata seperated by space
	  
          </PRE
><P
>&#13;	    An example of a <A
HREF="x68.html#file_contents.xor.data"
>properly formatted file</A
> is
	    provided in the Introduction.
	  </P
><P
>This function appears in FANN &#62;= 1.0.0.</P
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