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Artificial Neural Networks made easy with the FANN library

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28 Aug 2013CPOL24 min read 194.1K   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_neuron</H1
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>Name</H2
>struct fann_neuron&nbsp;--&nbsp;Describes an individual neuron.</DIV
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>Description</H2
><P
>&#13;	    This structure is subject to change at any time. If you require direct
	    access to the contents of this structure, you may want to consider contacting
	    the <A
HREF="mailto:fann-general@lists.sourceforge.net"
TARGET="_top"
>FANN development
	    team</A
>.
	  </P
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>Properties</B
></P
><DL
><DT
><SPAN
CLASS="type"
>fann_type *</SPAN
>
                <VAR
CLASS="varname"
>weights</VAR
></DT
><DD
><P
>This property is not yet documented.</P
></DD
><DT
><SPAN
CLASS="type"
>struct fann_neuron **</SPAN
>
                <VAR
CLASS="varname"
>connected_neurons</VAR
></DT
><DD
><P
>This property is not yet documented.</P
></DD
><DT
><SPAN
CLASS="type"
>unsigned int</SPAN
>
                <VAR
CLASS="varname"
>num_connections</VAR
></DT
><DD
><P
>This property is not yet documented.</P
></DD
><DT
><SPAN
CLASS="type"
>fann_type</SPAN
>
                <VAR
CLASS="varname"
>value</VAR
></DT
><DD
><P
>This property is not yet documented.</P
></DD
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