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>fann_init_weights</H1
><DIV
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NAME="AEN2715"
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><H2
>Name</H2
>fann_init_weights -- Initialize the weight of each connection.</DIV
><DIV
CLASS="refsect1"
><A
NAME="AEN2718"
></A
><H2
>Description</H2
><code
class="methodsynopsis"
> <span
class="type"
>void </span
>fann_init_weights(<span
class="methodparam"
><span
class="type"
>resource </span
><span
class="parameter"
>ann</span
></span
><span
class="methodparam"
>, <span
class="type"
>mixed </span
><span
class="parameter"
>training_data</span
></span
>); </code
><P
> This function behaves similarly to <A
HREF="r2688.html"
><CODE
CLASS="function"
>fann_randomize_weights</CODE
></A
>.
It will use the algorithm developed by Derrick Nguyen and Bernard Widrow [<A
HREF="b3048.html#bib.nguyen_1990"
><I
>Nguyen and Widrow, 1990</I
></A
>]
to set the weights in such a way as to speed up training.
</P
><P
> The algorithm requires access to the range of the input data (ie, largest and smallest input), and therefore accepts a second
argument, <VAR
CLASS="parameter"
>data</VAR
>, which is the training data that will be used to train the network.
</P
><P
> See also: <A
HREF="c104.html#adv.adj"
><I
>Adjusting Parameters</I
></A
>,
<A
HREF="r2688.html"
><CODE
CLASS="function"
>fann_randomize_weights</CODE
></A
>
</P
><P
>This function appears in FANN-PHP >= 0.1.0.</P
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