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

ReturnType fann_create_sparse ( float $connection_rate , int $num_layers , int $num_neurons1 , int $num_neurons2 [, int $... ] )

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

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.
...: Number of neurons in other layers.

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

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