Neural Networks bias node

Always use bias nodes!!!
Cross-Network Interactions in So I've learned a lesson over the last few days. First of all, I noticed looking at the last few versions of my trading program that there are serious inconsistencies that just didn't make sense. It seemed that no matter how I fit the training set I did could not get consistent trades in the test set. Also, by making simple changes to training weights and such, I would see radical changes in performance.
I was thinking of how to add some consistency to the performance of my system. I did some reading into the Neural Network research, and thought about bias nodes. Originally I didn't use them. It's difficult to find a good explanation of exactly what they do for the network. I was under the assumption that they were only necessary if you were using some sort of supervised training method, such as back-propagation. How wrong I was... I decided to implement bias into my system, and the change was immediate. Suddenly I'm starting to see profitable test sets. That's a very good sign to the viability of my methods. I won't have good data probably until tomorrow, but watching the samples come in things look really good.
By the way, if you don't know what a bias is in a neural network, biases basically act as additional nodes in the input and hidden levels, with

Source: AI in Finance Blog

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