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DEMO1TRN.RSP
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1992-11-19
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//
// file: demo1trn.rsp
// desc: demo1 training response file
// by: patrick ko shu pui
// date: 27 apr 1992
//
// comments:
//
// This resp file is used to train a 1 hidden layer neural net to
// learn an XOR function. The NN has a 2-unit input, a 1-unit
// output, and a 2-unit hidden layer.
//
// The result file is contained in demo1.out where you may view
// the output. If you output is close to 1 you may interpret it as
// a 1, and 0 if it is close to 0.
//
// 2 input units
-i=2
// 1 output units
-o=1
// 1 hidden layer
-hh=1
// 1st hidden layer = 2 units
-h=2
// use demo1.trn as training file
-ftrain=demo1.trn
// and there are 4 training patterns
-samp=4
// report training status every 10 cycles
-r=10
// time the training process
-t
// initialize the random weight at the range of (-0.5 to +0.5)
-w+=1.5
-w-=0.5
// mean square per unit err = 0.001
-err = 0.001
// tolerance = 0.01
-torerr=0.01
//
// the above response file is equivalent to the following command line
//
// bptrain -i=2 -o=1 -hh=1 -h=2 -ftrain=demo1.trn -samp=4 -r=10 -t -w+=0.5 -w-=-0.5
// -torerr=0.01
//