These intelligent systems are targeted at the analysis of large volumes of streaming data. They are capable of higher level adaptation to the environment and to internal changes (changing behaviour, wearing, faults, regimes, tiredness etc). They use autonomous learning in a human intelligible way, to provide clustering, classification, prediction and control in real-time real-world dynamic environments.