Hi all, I'm using ANFIS in order to forecast load values based on several inputs. However, many outputs are negative or sometimes very high valued and the accuracy is very bad. It is to be noted, that nor negative neither high values are included in the learning data.
I tried several things to address these problems, e.g. - preprocessing of the inputs - enlarge or shrink the learning data - adapting learning algorithm - adapting and/or methods - ...
Whatever I did, the outputs didn't get any better. I am aware of the fact, that the curve to predict is highly fluctuating and therefore a very complex case for ANFIS. Nevertheless, I hope to improve my results with further adaptions.
Has anyone any idea? I'm rather helpless at this point and really really stuck.
Thank you very much in advance! Martin