Recent advances in physical reservoir computing: A review
Reservoir computing is a computational framework suited for temporal/sequential data processing. It is derived from several recurrent neural network models, including echo state...
Reservoir computing is a computational framework suited for temporal/sequential data processing. It is derived from several recurrent neural network models, including echo state...
Marsaglia and Zaman recently proposed new classes of random number generators, called add-with-carry (AWC) and subtract-with-borrow (SWB), which are capable of quickly generatin...
The author develops a theory of the lattice structure of pseudorandom sequences from shift register generators, i.e. Tausworthe sequences and GFSR (generalized feedback shift re...