fann_create_standard
(PECL fann >= 1.0.0)
fann_create_standard — Creates a standard fully connected backpropagation neural network
Description
function fann_create_standard(
int $num_layers,
int $num_neurons1,
int $num_neurons2,
int ...$num_neuronsN):
resource
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.
Parameters
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.
num_neuronsN-
Number of neurons in other layers.
Return Values
Returns a neural network resource on success, or false on error.
See Also
- 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 connected and has shortcut connections
fann_create_sparse_array
Fann Functions