Problem in forecasting using GRNN
显示 更早的评论
I will predict some values with GRNN, but I have problem with output values. All output values of testing have same value with last value of output in training.
x =[1 2 3 4 5 6 7 8 9 10] ;
y =[1 4 6 8 10 12 14 16 18 20] ;
xx = 30:35;
[x, map] = mapstd(x);
xx = mapstd('apply', xx, map);
y = mapstd('apply', y, map);
s = 0.3;
grnn = newgrnn(x, y, s);
test_P = sim(grnn, xx);
test_P = mapstd('reverse',test_P,map);
display(test_P)
>>tes
test_P =
20 20 20 20 20 20
回答（3 个）
ahmed ayad
2020-7-26
0 个投票
the same problem is with me>>>> i think that grnn is not appropraite for prediction>>>
Shubham Rawat
2020-8-10
编辑：Shubham Rawat
2020-8-10
Hi Ulin,
While you are creating network
grnn = newgrnn(x,y,s);
You have used new x and y after changed using “mapstd”, instead of that you may use original values of x and y. That will lead you to desired results.
类别
在 帮助中心 和 File Exchange 中查找有关 Deep Learning Toolbox 的更多信息
2020-7-13
2020-8-10
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!
Translated by 
