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

[muhammad waseem]

Thanks for your reply. I have day, month, hour, temp, relative humidity,
Wind speed as my input variables. I can't think of any other dependant
variables. It is quite strange to me that I don't get results after using
these input variables.

On Tue, May 31, 2016 at 4:59 PM, Andrew Holmes <andrewholmes82 at icloud.com>
wrote:

> 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>
>
>
>
>
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>
> 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
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