title: A syntactic approach to seismic pattern recognition.
abstract: The nearest-neighbor decision rule for syntactic patterns is applied to seismic pattern classification. Each pattern is represented by a string. The string-to-string distance is used as a similarity measure. Another method using finite-state grammars inferred from the training samples and error-correcting parsers is also implemented. Both methods show equal recognition accuracy; however, the nearest-neighbor rule is much faster in computation speed. The classification results of real earthquake/explosion data are presented.
authors.affiliation: School of Electrical Engineering, Purdue University, West Lafayette, IN 47907.
authors.forename: H H
authors.initials: HH
authors.lastname: Liu
authors.forename: K S
authors.initials: KS
authors.lastname: Fu