fann_create_sparse

Creates a standard backpropagation neural network, which is not fully connected

&reftitle.description; `resource` `fann_create_sparse` `float` `connection_rate` `int` `num_layers` `int` `num_neurons1` `int` `num_neurons2` `int` `num_neuronsN`

Creates a standard backpropagation neural network, which is not fully connected.

&reftitle.parameters;

`connection_rate`

- The connection rate 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. A connection rate of 1 will yield the same result as `fann_create_standard`.

`num_layers`

- The total number of layers including the input and the output layer.

`num_neurons1`

- Number of neurons in the first layer.

`num_neurons2`

- Number of neurons in the second layer.

`num_neuronsN`

- Number of neurons in other layers.

&reftitle.returnvalues;

Returns a neural network resource on success, or &false; on error.

&reftitle.seealso;

- `fann_create_sparse_array`
- `fann_create_standard`
- `fann_create_shortcut`