reference/fann/functions/fann-create-sparse.xml
e41806c30bf6975e452c0d4ce35ab0984c2fa68c
...
...
@@ -10,12 +10,12 @@
10
10
<refsect1 role="description">
11
11
&reftitle.description;
12
12
<methodsynopsis>
13
-
<type>ReturnType</type><methodname>fann_create_sparse</methodname>
13
+
<type>resource</type><methodname>fann_create_sparse</methodname>
14
14
<methodparam><type>float</type><parameter>connection_rate</parameter></methodparam>
15
15
<methodparam><type>int</type><parameter>num_layers</parameter></methodparam>
16
16
<methodparam><type>int</type><parameter>num_neurons1</parameter></methodparam>
17
17
<methodparam><type>int</type><parameter>num_neurons2</parameter></methodparam>
18
-
<methodparam choice="opt"><type>int</type><parameter>...</parameter></methodparam>
18
+
<methodparam rep="repeat"><type>int</type><parameter>num_neuronsN</parameter></methodparam>
19
19
</methodsynopsis>
20
20
<para>
21
21
Creates a standard backpropagation neural network, which is not fully connected.
...
...
@@ -60,7 +60,7 @@
60
60
</listitem>
61
61
</varlistentry>
62
62
<varlistentry>
63
-
<term><parameter>...</parameter></term>
63
+
<term><parameter>num_neuronsN</parameter></term>
64
64
<listitem>
65
65
<para>
66
66
Number of neurons in other layers.
67
67