It sounds like you're right about the low values being connected between night and clouds. Since there's no seasonality outside of recurrent NNs, maybe try adding an hour of day variable. On May 31, 2016 11:57 AM, "muhammad waseem" <m.waseem.ahmad@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@python.org https://mail.python.org/mailman/listinfo/scikit-learn