[![enter image description here](https://i.stack.imgur.com/ejFBN.png)](https://i.stack.imgur.com/ejFBN.png) 

Feedforward or multilayered neural networks, like the one in the image above, are usually characterized by the fact that all weighted connections can be represented as a continuous real number. Furthermore, each node in a layer is connected to every other node in the previous and successive layers.

*Are there any other information processing models other than FFNNs or MLPs?* For example, is there any system in which the topology of a neural network is variable? Or a system in which the connections between nodes are not real numbers?