Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Optimal reservoir computers for forecasting systems of nonlinear
  dynamics   Prediction and analysis of systems of nonlinear dynamics is crucial in many
applications. Here, we study characteristics and optimization of reservoir
computing, a machine learning technique that has gained attention as a suitable
method for this task. By systematically applying Bayesian optimization on
reservoirs we show that reservoirs of low connectivity perform better than or
as well as those of high connectivity in forecasting noiseless Lorenz and
coupled Wilson-Cowan systems. We also show that, unexpectedly, computationally
effective reservoirs of unconnected nodes (RUN) outperform reservoirs of linked
network topologies in predicting these systems. In the presence of noise,
reservoirs of linked nodes perform only slightly better than RUNs. In contrast
to previously reported results, we find that the topology of linked reservoirs
has no significance in the performance of system prediction. Based on our
findings, we give a procedure for designing optimal reservoir computers (RC)
for forecasting dynamical systems. This work paves way for computationally
effective RCs applicable to real-time prediction of signals measured on systems
of nonlinear dynamics such as EEG or MEG signals measured on a brain.

27
The categories of this paper are: comp-gas
15
The categories of this paper are: nucl-ex
19
The categories of this paper are: eess
21
The categories of this paper are: adap-org
33
The categories of this paper are: plasm-ph
35
The categories of this paper are: mtrl-th
8
The categories of this paper are: hep-ex
14
The categories of this paper are: math-ph
12
The categories of this paper are: nucl-th
20
The categories of this paper are: acc-phys
0
The categories of this paper are: hep-ph
5
The categories of this paper are: gr-qc
18
The categories of this paper are: econ
26
The categories of this paper are: bayes-an
6
The categories of this paper are: astro-ph
10
The categories of this paper are: q-bio