Results 41 to 50 of about 21,729 (293)
Neuro-dynamic programming for the efficient management of reservoir networks [PDF]
The management of a water reservoir can be improved thanks to the use of stochastic dynamic programming (SDP) to generate management policies which are efficient with respect to the management objectives (flood protection, water supply for irrigation and
Rizzoli, Andrea Emilio +7 more
core +1 more source
Hybrid quantum-classical reservoir computing of thermal convection flow
We simulate the nonlinear chaotic dynamics of Lorenz-type models for a classical two-dimensional thermal convection flow with three and eight degrees of freedom by a hybrid quantum-classical reservoir computing model.
Philipp Pfeffer +2 more
doaj +1 more source
Leveraging plant physiological dynamics using physical reservoir computing
Plants are complex organisms subject to variable environmental conditions, which influence their physiology and phenotype dynamically. We propose to interpret plants as reservoirs in physical reservoir computing. The physical reservoir computing paradigm
Olivier Pieters +3 more
doaj +1 more source
Audio Classification with Skyrmion Reservoirs
Physical reservoir computing is a computational paradigm that enables spatiotemporal pattern recognition to be performed directly in matter. The use of physical matter leads the way toward energy‐efficient devices capable of solving machine learning ...
Robin Msiska +4 more
doaj +1 more source
Time series reconstructing using calibrated reservoir computing
Reservoir computing, a new method of machine learning, has recently been used to predict the state evolution of various chaotic dynamic systems. It has significant advantages in terms of training cost and adjusted parameters; however, the prediction ...
Yeyuge Chen, Yu Qian, Xiaohua Cui
doaj +1 more source
Differentiable reservoir computing
60 ...
Lyudmila Grigoryeva +1 more
openaire +5 more sources
Theoretical simulations of dynamical systems for advanced reservoir computing applications [Elektronisk resurs] [PDF]
There are computational problems that are simply too complex and cannot be handled by traditional CMOS technologies due to practical engineering limitations related to either fundamental physical behavior of devices at small scales, or various energy ...
Athanasiou, Vasileios,
core
Reservoir computing with solitons
Reservoir computing is a promising framework that facilitates the approach to physical neuromorphic hardware by enabling a given nonlinear physical system to act as a computing platform.
Nuno Azevedo Silva +2 more
doaj +1 more source
Rotating neurons for all-analog implementation of cyclic reservoir computing
Reservoir computing has demonstrated high-level performance, however efficient hardware implementations demand an architecture with minimum system complexity. The authors propose a rotating neuron-based architecture for physically implementing all-analog
Xiangpeng Liang +10 more
doaj +1 more source
A high-performance deep reservoir computer experimentally demonstrated with ion-gating reservoirs
While physical reservoir computing is a promising way to achieve low power consumption neuromorphic computing, its computational performance is still insufficient at a practical level. One promising approach to improving its performance is deep reservoir
Daiki Nishioka +5 more
doaj +1 more source

