fann_create_sparse_array(3) [php man page]

FANN_CREATE_SPARSE_ARRAY(3)						 1					       FANN_CREATE_SPARSE_ARRAY(3)

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

SYNOPSIS

       ReturnType fann_create_sparse_array (float  $connection_rate, int  $num_layers, array  $layers)

DESCRIPTION

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

PARAMETERS

	      o $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(3).

	      o $num_layers
		- The total number of layers including the input and the output layer.

	      o $layers
		- An array of layer sizes.

RETURN VALUES

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

SEE ALSO

       fann_create_sparse(3), fann_create_standard(3), fann_create_shortcut(3).

PHP Documentation Group 											       FANN_CREATE_SPARSE_ARRAY(3)

FANN_CREATE_SHORTCUT(3) 						 1						   FANN_CREATE_SHORTCUT(3)

fann_create_shortcut - Creates a standard backpropagation neural network which is not fully connectected and has shortcut connections

SYNOPSIS

       reference fann_create_shortcut (int  $num_layers, int  $num_neurons1, int  $num_neurons2, [int  $...])

DESCRIPTION

	Creates a standard backpropagation neural network, which is not fully connected and which also has shortcut connections.

	Shortcut connections are connections that skip layers. A fully connected network with shortcut connections, is a network where all neurons
       are connected to all neurons in later layers. Including direct connections from the input layer to the output layer.

PARAMETERS

	      o $num_layers
		- The total number of layers including the input and the output layer.

	      o $num_neurons1
		- Number of neurons in the first layer.

	      o $num_neurons2
		- Number of neurons in the second layer.

	      o $...
		- Number of neurons in other layers.

RETURN VALUES

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

SEE ALSO

       fann_create_shortcut_array(3), fann_create_sparse(3), fann_create_standard(3).

PHP Documentation Group 												   FANN_CREATE_SHORTCUT(3)