OSI model, communication between same layers but on different machines Post: 302626447

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Special Forums IP Networking OSI model, communication between same layers but on different machines Post 302626447 by gabam on Thursday 19th of April 2012 10:10:10 AM

04-19-2012

Registered User

OSI model, communication between same layers but on different machines

Hi friends,
I hope everyone is doing fine. I have this confusion regarding the OSI model. I have been reading a book on datacommunication and networking which discusses the OSI model in great detail. One thing that I can't figure out is the OSI daigram in this book. It shows communication between the upper and lower levels, but it also indicates diagramatically that same layers on two different machines are peers, and communicate with each other directly. I thought that if machine A want to communicate with machine B, it has to transfer the data downwards to its own physical layer, from where it can travel upwards to the upper layers of machine B. I can't understand the concept of same layers on two different machines communicating with each other directly. I hope you will help me understand it.

Looking forward to your wonderful and helpful replies.
Thanks in advance!

gabam

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fann_create_sparse_array

FANN_CREATE_SPARSE_ARRAY(3)						 1					       FANN_CREATE_SPARSE_ARRAY(3)

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

SYNOPSIS

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

DESCRIPTION

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

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 $layers
		- An array of layer sizes.

RETURN VALUES

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

SEE ALSO

       fann_create_sparse(3), fann_create_standard(3), fann_create_shortcut(3).

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