demo1trn.rsp

很经典的神经网络源程序,希望大家多多交流

//
//	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
//