Downloads: Artificial Neural Networks made easy with the FANN library

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>fann_get_activation_function_output</H1
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>Name</H2
>fann_get_activation_function_output&nbsp;--&nbsp;Get the activation function of the output layer.</DIV
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>Description</H2
><code
class="methodsynopsis"
>&#13;  <span
class="type"
>unsigned int </span
>fann_get_activation_function_output(<span
class="methodparam"
><span
class="type"
>struct fann * </span
><span
class="parameter"
>ann</span
></span
>);&#13;</code
><P
>Return the activation function of the output layer.</P
><P
>&#13;	    See <A
HREF="r2030.html"
><I
>Activation Functions</I
></A
>
	    for details on the activation functions.
	  </P
><P
>This function appears in FANN &#62;= 1.0.0.</P
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Software Developer's Journal

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Software Developer's Journal (formerly Software 2.0) is a magazine for professional programmers and developers publishing news from the software world and practical articles presenting very interesting ready programming solutions. To read more

Neural networks are typically associated with highly specialised applications, developed only by select groups of experst. This misconception has had a highly negative effect on its popularity. Hopefully, the FANN library will help fill this gap.

Type	Article
Licence
First Posted	16 Feb 2006
Views	96,580
Bookmarked	149 times

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