fann_create_standard

(PECL fann >= 1.0.0)

fann_create_standard — Creates a standard fully connected backpropagation neural network

説明

function fann_create_standard(
    int $num_layers,
    int $num_neurons1,
    int $num_neurons2,
    int ...$num_neuronsN
): resource

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.

パラメータ

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.

戻り値

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

参考

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

関連キーワード:

standard network fann neural connected create neurons Creates fully backpropagation layer layers bias Number sparse neuronsN resource neuron output destroy shortcut Fann There except next