I would like to predict stocks of a company for 6 months. I would like to use neural networks for this prediction.
- Can anyone suggest how many hidden layers and hidden nodes to be used?
I have modeled a neural network with 3 input nodes and 2 hidden nodes and 1 output node in R but I am getting forecast accuracy of around 35% only.
- Can anyone suggest how I can improve the forecast accuracy of my model?
- Are there any other models which give better accuracy for this kind of data?