fann_create_sparse
(PECL fann >= 1.0.0)
fann_create_sparse — Creates a standard backpropagation neural network, which is not fully connected
Description
function fann_create_sparse(
float $connection_rate,
int $num_layers,
int $num_neurons1,
int $num_neurons2,
int ...$num_neuronsN):
resource
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.
Return Values
Returns a neural network resource on success, or false on error.
See Also
- fann_create_sparse_array() - Creates a standard backpropagation neural network, which is not fully connected using an array of layer sizes
- fann_create_standard() - Creates a standard fully connected backpropagation neural network
- fann_create_shortcut() - Creates a standard backpropagation neural network which is not fully connected and has shortcut connections
fann_create_shortcut_array
Fann Functions