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Discrimination of infrasound events using parallel neural network classification banks

✍ Scribed by Sungjin Park; Fredric M. Ham; Christopher G. Lowrie

Publisher: Elsevier Science
Year: 2005
Tongue: English
Weight: 112 KB
Volume: 63
Category: Article
ISSN: 0362-546X
DOI: 10.1016/j.na.2005.02.016

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✦ Synopsis

An integral part of the Comprehensive Nuclear-Test-Ban Treaty (CTBT) International Monitoring System is an infrasound-monitoring network. This network has the capability to detect and verify infrasonic signals-of-interest (SOI), e.g., nuclear explosions, from other unwanted infrasound noise sources. This paper presents classification results of infrasonic events using parallel neural network classification banks (PNNCB). The PNNCB presented are structured by parallelization of classical neural networks. The PNNCB algorithm has capability of multiple events classification and show enhanced overall classification performance.

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