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>fann_create</H1
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><H2
>Name</H2
>fann_create -- Create a new artificial neural network, and return a pointer to it.</DIV
><DIV
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><A
NAME="AEN262"
></A
><H2
>Description</H2
><code
class="methodsynopsis"
> <span
class="type"
>struct fann * </span
>fann_create(<span
class="methodparam"
><span
class="type"
>float </span
><span
class="parameter"
>connection_rate</span
></span
><span
class="methodparam"
>, <span
class="type"
>float </span
><span
class="parameter"
>learning_rate</span
></span
><span
class="methodparam"
>, <span
class="type"
>unsigned int </span
><span
class="parameter"
>num_layers</span
></span
><span
class="methodparam"
>, <span
class="type"
>unsigned int </span
><span
class="parameter"
>...</span
></span
>); </code
><P
> <CODE
CLASS="function"
>fann_create</CODE
> will create a new artificial neural network, and return
a pointer to it. The <VAR
CLASS="parameter"
>connection_rate</VAR
> controls how many
connections there will be in the network. If the connection rate is set to 1, the
network will be fully connected, but if it is set to 0.5 only half of the connections
will be set.
</P
><P
> The <VAR
CLASS="parameter"
>num_layers</VAR
> is the number of layers including the input and
output layer. This parameter is followed by one parameter for each layer telling how
many neurons there should be in the layer.
</P
><P
>This function appears in FANN >= 1.0.0.</P
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