fann_create_sparse_array Creates a standard backpropagation neural network, which is not fully connected using an array of layer sizes &reftitle.description; ReturnTypefann_create_sparse_array floatconnection_rate intnum_layers arraylayers 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