An Evolving Cascade Neural Network Technique for Cleaning Sleep Electroencephalograms

Details An Evolving Cascade Neural Network Technique for Cleaning Sleep Electroencephalograms An Evolving Cascade Neural Network Technique for Cleaning Sleep Electroencephalograms

2005-04-14

arxiv.org/abs/cs/0504067v1

Natural Computing Application, 2005

Computer Science

Neural and Evolutionary Computing

Scientific paper

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.

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