12-09-2011
If they're using different gateways, internet traffic should just go where it's proper destination is. (Unless you're using a proxy, which would mess up its ability to tell which connection outgoing traffic belongs to.) The switch shouldn't care.
If both routers are serving DHCP, they'll of course interfere with each other when plugged into the same switch. Only one of them should be allowed to serve DHCP, probably your 'client' connection, configure your server statically.
Local traffic would be trickier. They'll be running on the same wire, so they could talk directly if they tried, but not being on the same subnet means they'll just forward it to their gateway instead, which won't work. The switch, which doesn't care at all about IP addresses, won't notice or care.
You could make it all one big happy 255.255.0.0 subnet, which would allow 192.0.0 and 192.0.10 to communicate without routing. Or you could give your clients static routes to talk to the other subnet. Or your server could be given 192.0.0 and 192.0.10 addresses on the same card so your clients don't have to talk to a "foreign" subnet.
Last edited by Corona688; 12-09-2011 at 12:13 PM..
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LEARN ABOUT PHP
fann_create_shortcut
FANN_CREATE_SHORTCUT(3) 1 FANN_CREATE_SHORTCUT(3)
fann_create_shortcut - Creates a standard backpropagation neural network which is not fully connectected and has shortcut connections
SYNOPSIS
reference fann_create_shortcut (int $num_layers, int $num_neurons1, int $num_neurons2, [int $...])
DESCRIPTION
Creates a standard backpropagation neural network, which is not fully connected and which also has shortcut connections.
Shortcut connections are connections that skip layers. A fully connected network with shortcut connections, is a network where all neurons
are connected to all neurons in later layers. Including direct connections from the input layer to the output layer.
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_shortcut_array(3), fann_create_sparse(3), fann_create_standard(3).
PHP Documentation Group FANN_CREATE_SHORTCUT(3)