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Artificial Neural Networks made easy with the FANN library

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28 Aug 2013CPOL24 min read 195K   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_layer</H1
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>struct fann_layer&nbsp;--&nbsp;Describes a layer in a network.</DIV
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>&#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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>struct fann_neuron *</SPAN
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                <VAR
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>first_neuron</VAR
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>&#13;		  A pointer to the first neuron in the layer. When allocated, all the
		  neurons in all the layers are actually in one long array, this is
		  because we want to easily clear all the neurons at once.
		</P
></DD
><DT
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CLASS="type"
>struct fann_neuron *</SPAN
>
                <VAR
CLASS="varname"
>last_neuron</VAR
></DT
><DD
><P
>&#13;		  A pointer to the neuron past the last neuron in the layer
		  the number of neurons is <VAR
CLASS="varname"
>last_neuron</VAR
>
		  - <VAR
CLASS="varname"
>first_neuron</VAR
>
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