Reservoir Computing
Fischer, Ingo / Nakajima, Kohei
The exciting field of reservoir computing, which originated from a pioneering study on echo state networks and liquid state machines in the early 2000s, has emerged as a highly promising and efficient training scheme for recurrent neural networks. Reservoir computing has developed considerably in recent years, in response to demands for increasingly complex real-time signal processing methods based on new technologies for sensing, communicatio...