Infrasound signal classification using parallel RBF Neural Networks

A classification system is presented for discriminating different infrasound events using a Parallel Neural Network Classifier Bank (PNNCB) consisting of Radial Basis Function (RBF) networks. The classifier architecture and the pre-processing steps are unique and yield results that are superior when compared with those previously reported. Three-dimensional Receiver Operating Characteristic (ROC) curves are used to optimally set the output thresholds at each of the classification modules in the PNNCB for a particular class. A process is presented that enables optimising certain parameters of the classifier system. An application of the classification system to four infrasound classes is presented along with performance results and associated Confidence Intervals (CIs).

[1]  Tomaso A. Poggio,et al.  Extensions of a Theory of Networks for Approximation and Learning , 1990, NIPS.

[2]  R. Acharyya,et al.  A Universal Neural Network–Based Infrasound Event Classifier , 2006 .

[3]  Say Wei Foo,et al.  Speaker recognition using adaptively boosted classifier , 2001, Proceedings of IEEE Region 10 International Conference on Electrical and Electronic Technology. TENCON 2001 (Cat. No.01CH37239).

[4]  Charles R. Wilson,et al.  Infrasonic waves from Alaskan Volcanic Eruptions , 1969 .

[5]  Fredric M. Ham,et al.  An infrasonic event neural network classifier , 1999, IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339).

[6]  M. J. D. Powell,et al.  Radial basis functions for multivariable interpolation: a review , 1987 .

[7]  Hugo Leonardo Rufiner,et al.  Automatic speaker identification by means of Mel cepstrum, wavelets and wavelet packets , 2000, Proceedings of the 22nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (Cat. No.00CH37143).

[8]  R. P. Ramachandran,et al.  Robust speaker recognition: a feature-based approach , 1996, IEEE Signal Processing Magazine.

[9]  Sungjin Park,et al.  A robust neural network classifier for infrasound events using multiple array data , 2002, Proceedings of the 2002 International Joint Conference on Neural Networks. IJCNN'02 (Cat. No.02CH37290).

[10]  J. Hanley,et al.  The meaning and use of the area under a receiver operating characteristic (ROC) curve. , 1982, Radiology.

[11]  Truong Q. Nguyen,et al.  Wavelets and filter banks , 1996 .

[12]  Young-Chan Lee,et al.  Classification of infrasound events using radial basis function neural networks , 2005, Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005..

[13]  Richard O. Duda,et al.  Pattern classification and scene analysis , 1974, A Wiley-Interscience publication.

[14]  E. Parzen.  On Estimation of a Probability Density Function and Mode , 1962 .

[15]  M. Inal,et al.  Self organizing map and associative memory model hybrid classifier for speaker recognition , 2002, 6th Seminar on Neural Network Applications in Electrical Engineering.

[16]  Simon Haykin,et al.  Neural Networks: A Comprehensive Foundation , 1998 .

[17]  D. F. Morrison,et al.  Multivariate Statistical Methods , 1968 .

[18]  Allan D. Pierce,et al.  Acoustics , 1989 .