Today I read a paper titled “Optimising the topology of complex neural networks”
The abstract is:
In this paper, we study instances of complex neural networks, i.e.
neural netwo rks with complex topologies.
We use Self-Organizing Map neural networks whose n eighbourhood relationships are defined by a complex network, to classify handwr itten digits.
We show that topology has a small impact on performance and robus tness to neuron failures, at least at long learning times.
Performance may howe ver be increased (by almost 10%) by artificial evolution of the network topo logy.
In our experimental conditions, the evolved networks are more random than their parents, but display a more heterogeneous degree distribution.