Recently we have been involved in the development of multiple-input multiple-output (MIMO) neural networks. These can be useful for training intelligent controllers. And that was our focus too. We aim to use them for the design of smart controllers for driverless cars as well as unmanned aerial vehicles. By implementing this capability we have taken a giant leap towards the realization of our dream.
Evolving MIMO multi-layered artificial neural networks using grammatical evolution
In this paper, we propose a scheme for evolving multiple-input-multiple-output (MIMO) artificial neural networks (ANNs) using grammatical evolution (GE). GE is a well-known technique for program evolution. While it has also been used for the evolution of ANN structures in the past, little work is reported on the evolution of MIMO ANNs.
