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1994-09-03
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Info on Network Modeling and Pruning Program
1. Given a trained MLP network, the program;
a. Models the net
b. Measures its performance as a function of
the number of hidden units
2. The non-demo version of the program;
a. Prunes the net to a user-controlled size and saves a pruned
net to disk
b. Determines the effective degree (amount of nonlinearity) of the net
3. Example Run of Network Modeling and Pruning Program
a. Go to the "Batch Processing" option and press <ret>
b. Observe the parameter file with commented keyboard responses;
gls.top ! structure file of trained network
gls ! data file
0 ! Enter number of training patterns to read (0 for all data)
0, 0 ! Enter numbers of 1st and last patterns to examine (0 0 for none)
gls1.wts ! weight file of trained network
.00065 ! Maximum acceptable mean squared error in pruned network
The program will prune the network from the fast training program,
which has network structure file gls.top and weight file gls1.wts,
so that it has an MSE of .00065 or less.
c. Exit the DOS editor and observe the program running
d. Go to the "Examine Program Output" option and press <ret>
e. The program has created a new network, having 4 hidden units,
which performs about as well as the original network.
f. You can run this program on your own data, simply by editing the
parameter file in the "batch Run" option. Realistically, it is
more productive to use the "Manual Run" with this program.