fann_create_standard

Creates a standard fully connected backpropagation neural network

&reftitle.description; `resource` `fann_create_standard` `int` `num_layers` `int` `num_neurons1` `int` `num_neurons2` `int` `num_neuronsN`

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.

&reftitle.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.

&reftitle.returnvalues;

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

&reftitle.seealso;

- `fann_create_standard_array`
- `fann_create_sparse`
- `fann_create_shortcut`