Is UNIX an open source OS ? Post: 302911911

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Operating Systems Linux Fedora Is UNIX an open source OS ? Post 302911911 by bakunin on Monday 4th of August 2014 12:23:45 PM

08-04-2014

Registered User

Quote:

Originally Posted by sreyan32

Could you elaborate on this point further. I mean if no one conformed to a standard how on earth is that standard still surviving. And also why is it there ??

For the same reason why there is a OSI-reference protocol stack which is (almost) nowhere implemented. It is an ideal against which each "real existing implementation" is measured. Even if no implementation fully conforms to it every one is - at least in theory - striving to do so and asymptotically converging towards it.

Take the OSI-reference model for networks as an example: to my knowledge the whole seven layers of it where only once being implemented (in some obscure DEC network stack working under VMS), but every network protocol is compared against it and we say that "IP is a layer-3 protocol", even though TCP/IP was not built with the OSI reference model in mind and in fact - from a theoretical POV - really covers only the layers 3, 4 and 5.

I hope this helps.

bakunin

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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)