Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: An Evolving Cascade Neural Network Technique for Cleaning Sleep
  Electroencephalograms   Evolving Cascade Neural Networks (ECNNs) and a new training algorithm capable
of selecting informative features are described. The ECNN initially learns with
one input node and then evolves by adding new inputs as well as new hidden
neurons. The resultant ECNN has a near minimal number of hidden neurons and
inputs. The algorithm is successfully used for training ECNN to recognise
artefacts in sleep electroencephalograms (EEGs) which were visually labelled by
EEG-viewers. In our experiments, the ECNN outperforms the standard
neural-network as well as evolutionary techniques.

27
The categories of this paper are: comp-gas
20
The categories of this paper are: acc-phys
36
The categories of this paper are: cmp-lg
18
The categories of this paper are: econ
23
The categories of this paper are: solv-int
19
The categories of this paper are: eess
33
The categories of this paper are: plasm-ph
9
The categories of this paper are: nlin
24
The categories of this paper are: dg-ga
16
The categories of this paper are: stat
0
The categories of this paper are: hep-ph
34
The categories of this paper are: chem-ph
4
The categories of this paper are: cond-mat
21
The categories of this paper are: adap-org
37
The categories of this paper are: supr-con
29
The categories of this paper are: funct-an