"srishti" wrote in message <khnfpv$bo4$1@newscl01ah.mathworks.com>...
> hello,
> I am using following code for pattern recognition in neural network,but each time when I run this program accuracy gets changed, can anybody suggest me how to get a constant accuracy?
> x=in;
> t=tar;
> net = patternnet(10)
> net = train(net,x,t);
> view(net)
> y = net(x);
> perf = perform(net,t,y)
By default,
1. data is randomly divided into training, validation and test sets according to the ratio 0.7/0.15/0.15
2. initial weights are randomly obtained from a subprogram
The easiest solution is to intialize the RNG at the beginning of the program.
Hope this helps.
Greg![]()
> hello,
> I am using following code for pattern recognition in neural network,but each time when I run this program accuracy gets changed, can anybody suggest me how to get a constant accuracy?
> x=in;
> t=tar;
> net = patternnet(10)
> net = train(net,x,t);
> view(net)
> y = net(x);
> perf = perform(net,t,y)
By default,
1. data is randomly divided into training, validation and test sets according to the ratio 0.7/0.15/0.15
2. initial weights are randomly obtained from a subprogram
The easiest solution is to intialize the RNG at the beginning of the program.
Hope this helps.
Greg