I am new to Nengo DL. I have been trying to see if it is possible to make time-series forecasts using an SNN.
looking through the forum I came across this post:
I tried to run the code provided in the article by user [happyjang7] I get a close enough result on the data provided. Also thanks to @tbekolay and @drasmuss I was able to improve my results using their recommended changes. but the issue is that the loss keeps on fluctuating across a wide range for some reason and also when I use my own time-series data it produces the same output for all test samples.
Inspired by this example I also tried to implement an LMU to forecast the time series. I have attached the code below:
LMU nengoDL.ipynb (149.5 KB)
but when I run the simulation on my own time series data(stock prices) then surprisingly again with this model I get the same prediction value(output) for all test samples and also get a huge loss.
I am not sure what I am doing wrong here, since I tried to tune the parameters but nothing seems to work. Would greatly appreciate it if someone could help. thank you.