fann_create_sparse - Creates a standard backpropagation neural network, which is not fully connected
Вернуться к: Fann Функции
fann_create_sparse
(PECL fann >= 1.0.0)
fann_create_sparse — Creates a standard backpropagation neural network, which is not fully connected
Описание
$connection_rate
, int $num_layers
, int $num_neurons1
, int $num_neurons2
[, int $...
] )Creates a standard backpropagation neural network, which is not fully connected.
Список параметров
-
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.
Возвращаемые значения
Returns a neural network resource on success, or FALSE on error.
Смотрите также
- 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
Вернуться к: Fann Функции