Commit ba9cafe0 authored by Joao Fabro's avatar Joao Fabro


parent a2808307
......@@ -21,12 +21,19 @@ In order to understand how the parameters of the feedforward neural network shou
2 - Number of Inputs of Input Pattern (for example 2 inputs for XOR)
1 - Number of Outputs of Output Pattern (in this case, one -binary- output)
2 - Number of Layers of the Neural Net (2 layers, one hidden and one output layer)
51 - Number of neurons of 1st hidden layer
4 - Number of neurons of 2nd hidden layer...etc!(the number of layers depends on the third line-Number of Layers)
0.5 - Parameter momentum
0.3 - Parameter learning-rate
0.0001 - Parameter max_err (the training finishes when the maximum error for each pattern is smaller than this parameter)
Markdown is supported
0% or
You are about to add 0 people to the discussion. Proceed with caution.
Finish editing this message first!
Please register or to comment