fann_create_standard - Creates a standard fully connected backpropagation neural network
Вернуться к: Fann Функции
fann_create_standard
(PECL fann >= 1.0.0)
fann_create_standard — Creates a standard fully connected backpropagation neural network
Описание
$num_layers
, int $num_neurons1
, int $num_neurons2
[, int $...
] )Creates a standard fully connected backpropagation neural network.
There will be a bias neuron in each layer (except the output layer), and this bias neuron will be connected to all neurons in the next layer. When running the network, the bias nodes always emits 1.
To destroy a neural network use the fann_destroy() function.
Список параметров
-
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_standard_array() - Creates a standard fully connected backpropagation neural network using an array of layer sizes
- fann_create_sparse() - Creates a standard backpropagation neural network, which is not fully connected
- fann_create_shortcut() - Creates a standard backpropagation neural network which is not fully connectected and has shortcut connections
Вернуться к: Fann Функции