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fann_create_sparse_array - Creates a standard backpropagation neural network, which is not fully connected using an array of layer sizes

Вернуться к: Fann Функции

fann_create_sparse_array

(PECL fann >= 1.0.0)

fann_create_sparse_arrayCreates a standard backpropagation neural network, which is not fully connected using an array of layer sizes

Описание

ReturnType fann_create_sparse_array ( float $connection_rate , int $num_layers , array $layers )

Creates a standard backpropagation neural network, which is not fully connected using an array of layer sizes.

Список параметров

connection_rate

The connection rate controls how many connections there will be in the network. If the connection rate is set to 1, the network will be fully connected, but if it is set to 0.5 only half of the connections will be set. A connection rate of 1 will yield the same result as fann_create_standard().

num_layers

The total number of layers including the input and the output layer.

layers

An array of layer sizes.

Возвращаемые значения

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

Смотрите также

  • 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
  • fann_create_shortcut() - Creates a standard backpropagation neural network which is not fully connectected and has shortcut connections



Вернуться к: Fann Функции

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