Practice Neural Network Learning Assignment

The following is the same data from the DT practice assignment

 

Example	bought	edu	first	visited	more_info
e1	false	true	false	false	true
e2	true	false	true	false	false
e3	false	false	true	true	true
e4	false	false	true	false	false
e5	false	false	false	true	false
e6	true	false	false	true	true
e7	true	false	false	false	true
e8	false	true	true	true	false
e9	false	true	true	false	false
e10	true	true	true	false	true
e11	true	true	false	true	true
e12	false	false	false	false	true

In this assignment we will consider neural network learning for this data. We have a Java applet that can be used to answer this assignment.  Load (using the file->load sample graph" option) the sample network "assignment 12a". Then go in "options -> learning options" and set "number of iterations+ to 200  and "learning rate" to 0.5. In  "solve" mode, select "show plot" to see the learning curve as the NN learning algorithm runs.

1. Consider neural network learning with no hidden layers. After the network has converged, what are the parameter values?
2. What is the Boolean function that the network represents?
3. Are all the training examples classified correctly (if not, which aren't)?
4. Give two examples, not in the training set, and specify what the predicted values are.