论文信息 - Discrimination of infrasound events using parallel neural network classification banks

Discrimination of infrasound events using parallel neural network classification banks

Abstract 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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