RNCOryhmä
RNCOryhmä is a Finnish term that translates to "RNN Group" or "Recurrent Neural Network Group". It refers to a collection of computational units that process sequential data. Unlike traditional feedforward neural networks, recurrent neural networks have connections that form directed cycles, allowing them to maintain an internal state or memory. This memory enables them to learn from past inputs and use that information to influence future outputs.
The core idea behind RNCOryhmä is the concept of recurrence. Information from previous time steps is fed
There are various architectures within the broader concept of RNCOryhmä. Common examples include Elman networks and