Neural_Networks

A simple example of using the Hebb rule for character recognition involves training the net to distinguish between the pattern "X" and the pattern "O". The patterns can be represented as and To treat this example as a pattern classification problem with one output class, we will designate that class "X" and take the pattern "O" to be an example of output that is not "X." A simple example of using the Hebb rule for character recognition involves training the net to distinguish between the pattern "X" and the pattern "O". The patterns can be represented as and To treat this example as a pattern classification problem with one output class, we will designate that class "X" and take the pattern "O" to be an example of output that is not "X