demo2trn.rsp

来自「超前校正环节,低界控制系统的超前控制算法,简单实用,MATLAB实现.」· RSP 代码 · 共 53 行

//
//	file:	demo2trn.rsp
//	desc:	demo2 training response file
//	by:	patrick ko shu pui
//	date:	27 apr 1992
//
//	comments:
//
//	This resp file is used to train a 2 hidden layer neural net to
//	learn an shift function.  The NN has a 4-unit input, 4-unit 
//	output, a 4-unit 1st hidden layer, and a 3-unit 2nd hidden layer.
//	The result file is contained in demo2.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.
//

// 4 input units
-i=4

// 4 output units
-o=4

// 2 hidden layers
-hh=2

// 1st hidden layer = 4 units
-h=4

// 2nd hidden layer = 3 units
-h=3

// use demo2.trn as training file
-ftrain=demo2.trn

// and there are 4 training patterns
-samp=4

// weight dump file is demo2.dmp
-fdump=demo2.dmp 

// report training status every 10 cycles
-r=10

//
// the above option in this response file is equivalent to the following command line
//
// bptrain -i=4 -o=4 -hh=2 -h=4 -h=3 -ftrain=demo2.trn -samp=4 -fdump=demo2.dmp -r=10
//
// and you should use the following command line for recognition 
//
// bprecog -i=4 -o=4 -hh=2 -h=4 -h=3 -frecog=demo2.rgn -samp=2 -fdump=demo2.dmp -fout=demo2.out
//