Evaluation of convolutional neural networks using a large multi-subject P300 dataset

Deep neural networks (DNN) have been studied in various machine learning areas. For example, event-related potential (ERP) signal classification is a highly complex task potentially suitable for DNN as signal-to-noise ratio is low, and underlying spatial and temporal patterns display a large intra-...

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Veröffentlicht in:	arXiv.org 2020-01
1. Verfasser:	Vareka, Lukas
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks Classification Datasets Discriminant analysis Machine learning Model accuracy Neural networks Signal classification Signal to noise ratio Support vector machines
Online-Zugang:	Volltext
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