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

# fann_create_shortcut

(PECL fann >= 1.0.0)

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

### Description

fann_create_shortcut(
int `$num_layers`,
int `$num_neurons1`,
int `$num_neurons2`,
int `...$num_neuronsN`
): resource

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

`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_shortcut_array() - Creates a standard backpropagation neural network which is not fully connectected and has shortcut connections
- fann_create_sparse() - Creates a standard backpropagation neural network, which is not fully connected
- fann_create_standard() - Creates a standard fully connected backpropagation neural network

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