fann_create_sparse_array

Creates a standard backpropagation neural network, which is not fully connected using an array of layer sizes

&reftitle.description; `resource` `fann_create_sparse_array` `float` `connection_rate` `int` `num_layers` `array` `layers`

Creates a standard backpropagation neural network, which is not fully connected using an array of layer sizes.

&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.

`layers`

- An array of layer sizes.

&reftitle.returnvalues;

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

&reftitle.seealso;

- `fann_create_sparse`
- `fann_create_standard`
- `fann_create_shortcut`