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

Beschreibung

fann_create_sparse ( float $connection_rate , int $num_layers , int $num_neurons1 , int $num_neurons2 , int ...$num_neuronsN ) : resource

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

Parameter-Liste

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.

Rückgabewerte

Returns a neural network resource on success, or FALSE on error.

Siehe auch

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 connectected and has shortcut connections