Problem of ANN , Not predicting results other than trained data properly ?

3 次查看（过去 30 天）
Tonu
Tonu 2014-5-1
(a) This is a typical 2 input 1 output problem . (b) I have normalized the input data between 0.2 - 0.8 (c) I have developed a ANN network (nnet), and used those weights which gives the least error. (d) The predicted results are excellent (for the training + testing + validation) (e) but when I use the network for a new set of data , say I give the two inputs as 0.9 0.9 , it gives absurd results and does not even follow the trend i.e. as the two inputs increase the output should increase.
Any help would be highly appreciated. Thanks,

请先登录，再回答此问题。

回答（0 个）

类别

在 Help Center 和 File Exchange 中查找有关 Deep Learning Toolbox 的更多信息

标签

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by