1
train.out
train.err
sample
junk
train.wts
100 32  08  10  10.0  0.25  0.001  12345
200  0.01  1.e-12  50  1.0  0.0  1
test.out
test.err
fl3tst
train.wts
trash
1434  32  08  10  10.0  0.25  0.0  0
0  0.0  0.0 10  0.0  0.0  0

nruns
fResults                # output results file name
fError                  # error output file name
fPattern                # pattern input file name
fWeights                # initial weights file name
fWeightsOut             # final weights output file name
NPAT IN HID OUT ETA ALFA WF SEED
NITER EGOAL GGOAL NFREQ EDEL OKLVL OKDEL  
    # read network parameters for the run
    read(fpspec, *)  npats,         # number of input patterns
                     ninp,          # number of input nodes
                     nhid,          # number of hidden nodes
                     nout,          # number of output nodes
                     eta,           # learning rate
                     alpha,         # momentum factor
                     wfactor        # coefficient of |w| in error
                                    # nseed is 0 if reading weights, else
                     nseed          # the random number seed
    # read convergence parameters for the run
    read(fpspec, *)  niter,         # number of iterations through the data
                     egoal,         # goal for error (RMS)
                     gwgoal,        # goal for g (RMS) / w (RMS)
                     nfreq,         # frequency for checking convergence
                     errdel,        # quit if error reduction too small
                     oklvl,         # level for okay activation
                     nokdel         # quit if OK increase too small

