Artificial Neural Networks in Akka

1. Premise

This project is an attempt to use an artificial neural network as a data flow transformer. Having an input stream of symbols which can be decoded into an input vector, the network will be able to generate a stream of more abstract symbols, using as additional information both the context (ie. data which was received before) and time gaps between consecutive chunks of data. The network is reactive - its computations are triggered by the input stream itself, not by a third agent watching the stream and sending requests to the network - and it can simultaneously receive and generate data.

2. Documentation

• Abstract
• Full article
• Install and use instructions
• Further ideas

If you want to look at only one class in this project then it's probably this one.