01-17-2001
Network Layers
Can't help you much with the Unix problems but I do know a bit about the network layers - is this a Uni/College assignment?
I'll get you started, the network layers are:
Physical
Datalink
Network
Transport
Session
Presentation
Application
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LEARN ABOUT PHP
fann_create_sparse
FANN_CREATE_SPARSE(3) 1 FANN_CREATE_SPARSE(3)
fann_create_sparse - Creates a standard backpropagation neural network, which is not fully connected
SYNOPSIS
ReturnType fann_create_sparse (float $connection_rate, int $num_layers, int $num_neurons1, int $num_neurons2, [int $...])
DESCRIPTION
Creates a standard backpropagation neural network, which is not fully connected.
PARAMETERS
o $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(3).
o $num_layers
- The total number of layers including the input and the output layer.
o $num_neurons1
- Number of neurons in the first layer.
o $num_neurons2
- Number of neurons in the second layer.
o $...
- Number of neurons in other layers.
RETURN VALUES
Returns a neural network resource on success, or FALSE on error.
SEE ALSO
fann_create_sparse_array(3), fann_create_standard(3), fann_create_shortcut(3).
PHP Documentation Group FANN_CREATE_SPARSE(3)