Reservoir optimization in recurrent neural networks using kronecker kernels
Ali Ajdari Rad, Mahdi Jalili, Martin Hasler · 2008
In this paper, using the mathematical properties of self-kronecker-production of small size random matrices, a simple but effective method is presented to optimize the reservoir of an echo state network given a certain task. The experimental results investigating the NARMA system show that few steps of the proposed optimization process can lead to a near optimum solution.