Greetings, I have a neural network that is forecasting financial data. In some cases, my 3 input features are going to be full of zeros. In those cases, my network will give me a nonzero output, even if all the inputs are zero. This is very problematic for my particular problem. I think this is due to the biases in the network. Is there a way to train a networks weights, but force the biases to zero? I also fitted a linear regression model, where I could simply remove the intercept to solve this problem.
I unfortunately could not find information on this topic and hope that someone can help me out!
Thanks in advance,