fann_create_sparse_array

(PECL fann >= 1.0.0)

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

fann_create_sparse_array(float $connection_rate, int $num_layers, array $layers): resource

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

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.

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

fann_create_sparse() - Creates a standard backpropagation neural network, which is not fully connected
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

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