[scikit-learn] Artificial neural network not learning lower values of the training sample

[Andrew Holmes]

If the problem is that it’s confusing day and night, are you including time of day as a parameter?

Best wishes
Andrew

@andrewholmes82 <http://twitter.com/andrewholmes82>








> On 31 May 2016, at 16:55, muhammad waseem <m.waseem.ahmad at gmail.com> wrote:
> 
> Hi All,
> I am trying to train an ANN but until now it is not learning the lower values of the training sample. I have tried using different python libraries to train ANN. The aim is to predict solar radiation from other weather parameters (regression problem). I think the ANN is confusing lower values (winter/cloudy days) with the night-time values (probably). I have tried the following but none of them worked;
> 
>  1. Scaling data between different values e.g. [0,1],[-1,1]
>  2. Standardising data to have zero mean and unit variance
>  3. Shuffling the data
>  4. Increasing the training samples (from 3 years to 10 years)
>  5. Using different train functions
>  6. Trying different transfer functions
>  7. Using few input variables
>  8. Varying hidden layers and hidden layers' neurons
> 
> Any idea what could be wrong or any directions to try?
> 
> Thanks
> Kindest Regards
> Waseem
> _______________________________________________
> scikit-learn mailing list
> scikit-learn at python.org
> https://mail.python.org/mailman/listinfo/scikit-learn

-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://mail.python.org/pipermail/scikit-learn/attachments/20160531/90f8ed8a/attachment.html>