Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: PyRCN: A Toolbox for Exploration and Application of Reservoir Computing
  Networks   Reservoir Computing Networks belong to a group of machine learning techniques
that project the input space non-linearly into a high-dimensional feature
space, where the underlying task can be solved linearly. Popular variants of
RCNs, e.g.\ Extreme Learning Machines (ELMs), Echo State Networks (ESNs) and
Liquid State Machines (LSMs) are capable of solving complex tasks equivalently
to widely used deep neural networks, but with a substantially simpler training
paradigm based on linear regression. In this paper, we introduce the Python
toolbox PyRCN (Python Reservoir Computing Networks) for optimizing, training
and analyzing Reservoir Computing Networks (RCNs) on arbitrarily large
datasets. The tool is based on widely-used scientific packages, such as numpy
and scipy and complies with the scikit-learn interface specification. It
provides a platform for educational and exploratory analyses of RCNs, as well
as a framework to apply RCNs on complex tasks including sequence processing.
With only a small number of basic components, the framework allows the
implementation of a vast number of different RCN architectures. We provide
extensive code examples on how to set up RCNs for a time series prediction and
for a sequence classification task.

31
The categories of this paper are: ao-sci
22
The categories of this paper are: chao-dyn
37
The categories of this paper are: supr-con
4
The categories of this paper are: cond-mat
23
The categories of this paper are: solv-int
36
The categories of this paper are: cmp-lg
0
The categories of this paper are: hep-ph
35
The categories of this paper are: mtrl-th
32
The categories of this paper are: atom-ph
2
The categories of this paper are: math
17
The categories of this paper are: q-fin
18
The categories of this paper are: econ
9
The categories of this paper are: nlin
11
The categories of this paper are: hep-lat
10
The categories of this paper are: q-bio
8
The categories of this paper are: hep-ex