DocumentCode :
1942439
Title :
Classification of Infrasound Surf Events Using Parallel Neural Network Banks
Author :
Ham, F.M. ; Acharyya, R. ; Lee, Y.-C. ; Garces, M. ; Fee, D. ; Whitten, C. ; Rivera, E.
Author_Institution :
Florida Inst. of Technol., Melbourne
fYear :
2007
fDate :
12-17 Aug. 2007
Firstpage :
720
Lastpage :
725
Abstract :
One of the most active locations in the world for ocean surf is the North Shore of Oahu. Here we show surf waves from three locations, "Pinballs," "Pipeline," and "Shark\´s cove," on the North Shore yield distinctive infrasonic signatures that can be used to train and test a neural network classifier. A parallel neural network classifier bank (PNNCB) is developed to classify the surf events from the three different locations on Oahu. Each module in the bank is a radial basis function (RBF) network responsible for classifying one of the three surf events. However, each module is also trained to not classify the other two surf events, and this ultimately increases the overall classifier performance. Output thresholds of each module are set according to a specific three-dimensional receiver operating characteristic (ROC) curve. For the three surf events, the correct classification rate achieved is 87.1%. A confusion matrix of the complete neural network classifier bank is shown along with confidence intervals for each class and the overall accuracy.
Keywords :
acoustic signal processing; acoustic waves; learning (artificial intelligence); ocean waves; radial basis function networks; signal classification; classification; infrasonic signatures; infrasound surf events; ocean surf; parallel neural network banks; parallel neural network classifier bank; radial basis function network; receiver operating characteristic curve; surf waves; Cepstral analysis; Feature extraction; Frequency; Neural networks; Pipelines; Robustness; Sampling methods; Sensor arrays; Testing; Time domain analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks, 2007. IJCNN 2007. International Joint Conference on
Conference_Location :
Orlando, FL
ISSN :
1098-7576
Print_ISBN :
978-1-4244-1379-9
Electronic_ISBN :
1098-7576
Type :
conf
DOI :
10.1109/IJCNN.2007.4371046
Filename :
4371046
Link To Document :
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