Download or read book Application of Neural Networks to Seismic Signal Discrimination Research Findings written by James A. Cercone and published by . This book was released on 1994 with total page 109 pages. Available in PDF, EPUB and Kindle. Book excerpt: Research focused on identification and collection of a suitable database, identification of parametric representation of the time series seismic waveforms, and the training and testing of neural networks for seismic event classification. It was necessary to utilize seismic events that had a high degree of reliability for accurate training of the neural networks. The seismic waveforms were obtained from the Center for Seismic Studies and were organized into smaller databases for training and classification purposes. Unprocessed seismograms were not well suited for presentation to a neural network because of the large number of data points required to represent a seismic event in the time domain. The parametric representation of the seismic events in some cases provided adequate information for accurate event classification, while significantly reducing the minimum size of the neural network. Various networks have achieved classification rates ranging from 88 percent classification of three class problem to 75 percent for the 5 class problem. The results vary dependent on the number of classes and the method of parametric transformations utilized. Multiple tests were performed in order to statistically average the training and classification rates. Test summaries presented and individual test results are given in the appendix.
Download or read book Test and Evaluation of Neural Network Applications for Seismic Signal Discrimination written by and published by . This book was released on 1992 with total page 61 pages. Available in PDF, EPUB and Kindle. Book excerpt: This study describes operational test and evaluation of two neural network applications that were integrated into the Intelligent Monitoring System (IMS) for automated processing and interpretation of regional seismic data. Also reported is the result of a preliminary study on the application of neural networks to regional seismic event identification. The first application is for initial identification of seismic phases (P or S) recorded by 3-component stations based on polarization data and context. This neural network performed 3-6% better than the current rule-based system when tested on data obtained from the 3-component IRIS stations in the former Soviet Union. This resulted in an improved event bulletin which showed that the number of analyst-verified events that were missed by the automated processing decreased by more than a factor of 2 (about 10 events/week). The second operational test was conducted on the neural network developed by MIT/Lincoln Laboratory for regional final phase identification (e.g., Pn, Pg, Sn, Lg, and Rg). This neural network performed 3. 3% better than the rule-based system in IMS station processing. However, for the final phase identifications obtained after network processing (where data from all stations are combined), the gain dropped to about 1.0%. It is likely that this could be regained by using the neural network phase identification confidence factors in the network processing. Finally, our preliminary study on the application of neural networks to identify regional seismic events on the basis of coda shape gave about 80% accuracy on data recorded at GERESS. In general, the neural network classifier utilized the coda decay rate which was lower for the earthquakes than it was for the explosions, although there was substantial overlap.
Download or read book Application of Neural Networks to Seismic Signal Discrimination written by James A. Cercone and published by . This book was released on 1993 with total page 66 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Application of Neutral Networks to Seismic Signal Discrimination written by and published by . This book was released on 1993 with total page 74 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the first Annual Technical Summary of the West Virginia Institute of Technology Applications of Neural Networks to Seismic Classification project. The first year of research focused on identification and collection of a suitable database, identification of parametric representation of the time series seismic waveforms, and the initial training and testing of neural networks for seismic event classification. It was necessary to utilize seismic events that had a high degree of reliability for accurate training of the neural networks. The seismic waveforms were obtained from the Center for Seismic Studies and were organized into three smaller databases for training and classification purposes. Unprocessed seismograms are not well suited for presentation to a neural network because of the large number of data points required to represent a seismic event in the time domain. Parametric representation of the seismic waveform numerically extracts those features of the waveform that enable accurate event classification. Sonograms and moment feature extraction are two of the several transformations investigated for parametric representation of a seismic event. This parametric representation of the seismic events provides adequate information. Neural networks, Data points, Signal discrimination, Parametric representation, Seismic events.
Download or read book Test and Evaluation of Neural Network Application for Seismic Signal Discrimination written by Gagan B. Patnaik and published by . This book was released on 1992 with total page 50 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Scientific and Technical Aerospace Reports written by and published by . This book was released on 1995 with total page 692 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Data to Test and Evaluate the Performance of Neural Network Architectures for Seismic Signal Discrimination Data Sets 2 3 Volume 1 written by and published by . This book was released on 1992 with total page 80 pages. Available in PDF, EPUB and Kindle. Book excerpt: This study describes a data set that was developed to test and evaluate the performance of neural networks for automated processing and interpretation of regional seismic data. This data set may also be valuable for other applications related to seismic monitoring at regional distances, and it is available at the Center for Seismic Studies (CSS) in an Oracle database or in UNIX tar format on exabyte tapes. It consists of waveform and parametric data from>500 regional events recorded by the short-period elements of the NORESS and ARCESS arrays in Norway, and the GERESS array in Germany (the Oracle database at CSS also included data from the FINESA array in Finland and a 3- component station in Poland called KSP). The epicentral distances are primarily 50-2000 km, and the magnitudes are primarily 1.0-5.0. Most of the events are mining explosions in the western part of the CIS, Sweden, Finland, Poland, and Germany. Also included are 22 presumed underwater explosions, and 51 earthquakes in Fennoscandia that were identified in a regional bulletin produced by the University of Helsinki. Other presumed earthquakes (for which independent bulletin information was not available) include events in the Alps and Mediterranean region that were recorded by GERESS. The Oracle database is in CSS 3.0 format, and the exabyte tapes include waveforms in SAC binary format and parametric data in ASCII tables. Detailed documentation has been developed for each event, and is included in a 13-volume report at the CSS.
Download or read book EPSCoR Supplemental Grant for an Application of Neural Networks to Seismic Signal Discrimination written by James A. Cercone and published by . This book was released on 1994 with total page 89 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Neural Networks in Seismic Discrimination written by and published by . This book was released on 1995 with total page 15 pages. Available in PDF, EPUB and Kindle. Book excerpt: Neural networks are powerful and elegant computational tools that can be used in the analysis of geophysical signals. At Lawrence Livermore National Laboratory, we have developed neural networks to solve problems in seismic discrimination, event classification, and seismic and hydrodynamic yield estimation. Other researchers have used neural networks for seismic phase identification. We are currently developing neural networks to estimate depths of seismic events using regional seismograms. In this paper different types of network architecture and representation techniques are discussed. We address the important problem of designing neural networks with good generalization capabilities. Examples of neural networks for treaty verification applications are also described.
Download or read book Neural Nets WIRN10 written by Bruno Apolloni and published by IOS Press. This book was released on 2011 with total page 348 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Seismic Discrimination Using Neural Networks written by Sean F. Walden and published by . This book was released on 1992 with total page 126 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book World Congress on Neural Networks written by Paul Werbos and published by Routledge. This book was released on 2021-09-10 with total page 916 pages. Available in PDF, EPUB and Kindle. Book excerpt: Centered around 20 major topic areas of both theoretical and practical importance, the World Congress on Neural Networks provides its registrants -- from a diverse background encompassing industry, academia, and government -- with the latest research and applications in the neural network field.
Download or read book World Congress on Neural Networks San Diego written by and published by Psychology Press. This book was released on 1994 with total page 916 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Data to Test and Evaluate the Performance of Neural Network Architectures for Seismic Signal Discrimination written by Sereno, Jr. (Thomas J.) and published by . This book was released on 1991 with total page 64 pages. Available in PDF, EPUB and Kindle. Book excerpt: This report describes a data set that was developed to test and evaluate the performance of neural networks for automated processing and interprepation of seismic data. This data set may also be valuable for many other studies related to seismic monitoring of nuclear explosion testing at regional distance. It includes waveform and parametric data from 241 regional events recorded by the short-period elements of the NORESS and ARCESS arrays in Norway (33 channels/array). The waveform data are stored in SAC binary format, and the parametric data are stored in ASCII files. The event epicentral distances are 200-1800 km, and the event Lg magnitudes are approximately 1.5-3. 2. Most of the events are mining explosions in western USSR, Sweden, and Finland. However, 18 of the events are earthquakes, and 22 are presumed underwater explosions. Detailed documentation has been developed for each event, and is included in eight separate database reports.
Download or read book Monitoring a Comprehensive Test Ban Treaty written by Eystein S. Husebye and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 843 pages. Available in PDF, EPUB and Kindle. Book excerpt: An international treaty banning the testing of any nuclear device in any environment - a comprehensive test ban treaty (CTBT) - has been on the political agenda for nearly 40 years. Objections to a CTBT have been political, technical, or a combination of both. However, the possibilities seem better after the end of the Cold War. In the prevailing, cooperative disarmament climate a CTBT appears likely to be approved by most countries in 1996. Hence the great current interest in monitoring technologies and capabilities. Such issues are comprehensively addressed here, a preamble being devoted to the political developments and setbacks over the past 40 years. Since seismic means are considered the dominant monitoring element, they are explored in detail. Contributions cover network deployments, advanced signal processing, wave propagation in heterogeneous media, and seismic source representations, and a variety of techniques for source classification (including neural networks). Complementary monitoring techniques, such as hydroacoustics, radionuclides and infrasound, are also summarised. The IAEA operation for monitoring compliance with the Non-Proliferation Treaty is also presented. The book also includes eyewitness accounts of the Soviet 50 Mt megabomb development and test, as well as the efforts made by the state to monitor the nuclear test programmes of the western powers. Includes some 33 articles written by distinguished scientists active in CTBT monitoring research for decades.
Download or read book Government Reports Announcements Index written by and published by . This book was released on 1995 with total page 576 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book U S Arms Control and Disarmament Agency Annual Report written by United States. Arms Control and Disarmament Agency and published by . This book was released on 1992 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt:
