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Full Discussion: Is UNIX an open source OS ?
Operating Systems Linux Fedora Is UNIX an open source OS ? Post 302911911 by bakunin on Monday 4th of August 2014 12:23:45 PM
Old 08-04-2014
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_STANDARD(3) 						 1						   FANN_CREATE_STANDARD(3)

fann_create_standard - Creates a standard fully connected backpropagation neural network

SYNOPSIS
resource fann_create_standard (int $num_layers, int $num_neurons1, int $num_neurons2, [int $...]) DESCRIPTION
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(3) function. PARAMETERS
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_standard_array(3), fann_create_sparse(3), fann_create_shortcut(3). PHP Documentation Group FANN_CREATE_STANDARD(3)
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