What steps will reproduce the problem?
1. Use the encog workbench and create a feedforard network.
2. Set input neuron count to 5.
3. Set output neuron count to 1.
4. Then, add a hiden layer, count 5.
5. Tools -> Generate code. [X] Java
What is the expected output? What do you see instead?
A valid network setup
Instead, we get:
...other code...
Layer inputLayer = new BasicLayer( new ActivationTANH(),true,5);
inputLayer.addNext(inputLayer);
...other code...
Which will result in a stack overflow upon training.
What version of the product are you using? On what operating system?
Encog 2.1.0. Windows xp
Please provide any additional information below.
Original issue reported on code.google.com by jmspash...@gmail.com on 4 Oct 2009 at 2:53
Original issue reported on code.google.com by
jmspash...@gmail.com
on 4 Oct 2009 at 2:53