Matches in SemOpenAlex for { <https://semopenalex.org/work/W2080874041> ?p ?o ?g. }
Showing items 1 to 93 of
93
with 100 items per page.
- W2080874041 endingPage "204" @default.
- W2080874041 startingPage "191" @default.
- W2080874041 abstract "This study utilizes two non-linear approaches to characterize model behavior of earthquake dynamics in the crucial tectonic regions of Northeast India (NEI). In particular, we have applied a (i) non-linear forecasting technique to assess the dimensionality of the earthquake-generating mechanism using the monthly frequency earthquake time series (magnitude >=4) obtained from NOAA and USGS catalogues for the period 1960-2003 and (ii) artificial neural network (ANN) methods-based on the back-propagation algorithm (BPA) to construct the neural network model of the same data set for comparing the two. We have constructed a multilayered feed forward ANN model with an optimum input set configuration specially designed to take advantage of more completely on the intrinsic relationships among the input and retrieved variables and arrive at the feasible model for earthquake prediction. The comparative analyses show that the results obtained by the two methods are stable and in good agreement and signify that the optimal embedding dimension obtained from the non-linear forecasting analysis compares well with the optimal number of inputs used for the neural networks. The constructed model suggests that the earthquake dynamics in the NEI region can be characterized by a high-dimensional chaotic plane. Evidence of high-dimensional chaos appears to be associated with ''stochastic seasonal'' bias in these regions and would provide some useful constraints for testing the model and criteria to assess earthquake hazards on a more rigorous and quantitative basis." @default.
- W2080874041 created "2016-06-24" @default.
- W2080874041 creator A5008598171 @default.
- W2080874041 creator A5070287012 @default.
- W2080874041 date "2009-02-01" @default.
- W2080874041 modified "2023-09-27" @default.
- W2080874041 title "Model dissection from earthquake time series: A comparative analysis using modern non-linear forecasting and artificial neural network approaches" @default.
- W2080874041 cites W1498436455 @default.
- W2080874041 cites W1979324135 @default.
- W2080874041 cites W1998367480 @default.
- W2080874041 cites W1998727969 @default.
- W2080874041 cites W2000960214 @default.
- W2080874041 cites W2008756047 @default.
- W2080874041 cites W2012029928 @default.
- W2080874041 cites W2014084116 @default.
- W2080874041 cites W2020053736 @default.
- W2080874041 cites W2029401923 @default.
- W2080874041 cites W2030310707 @default.
- W2080874041 cites W2033066976 @default.
- W2080874041 cites W2034099719 @default.
- W2080874041 cites W2045264869 @default.
- W2080874041 cites W2050214465 @default.
- W2080874041 cites W2055084071 @default.
- W2080874041 cites W2058165543 @default.
- W2080874041 cites W2062470393 @default.
- W2080874041 cites W2066366061 @default.
- W2080874041 cites W2091219515 @default.
- W2080874041 cites W2111496070 @default.
- W2080874041 cites W2124191685 @default.
- W2080874041 cites W2126676244 @default.
- W2080874041 cites W2165758113 @default.
- W2080874041 cites W2172044679 @default.
- W2080874041 doi "https://doi.org/10.1016/j.cageo.2007.11.011" @default.
- W2080874041 hasPublicationYear "2009" @default.
- W2080874041 type Work @default.
- W2080874041 sameAs 2080874041 @default.
- W2080874041 citedByCount "34" @default.
- W2080874041 countsByYear W20808740412012 @default.
- W2080874041 countsByYear W20808740412013 @default.
- W2080874041 countsByYear W20808740412014 @default.
- W2080874041 countsByYear W20808740412015 @default.
- W2080874041 countsByYear W20808740412016 @default.
- W2080874041 countsByYear W20808740412017 @default.
- W2080874041 countsByYear W20808740412018 @default.
- W2080874041 countsByYear W20808740412019 @default.
- W2080874041 countsByYear W20808740412020 @default.
- W2080874041 countsByYear W20808740412021 @default.
- W2080874041 countsByYear W20808740412022 @default.
- W2080874041 countsByYear W20808740412023 @default.
- W2080874041 crossrefType "journal-article" @default.
- W2080874041 hasAuthorship W2080874041A5008598171 @default.
- W2080874041 hasAuthorship W2080874041A5070287012 @default.
- W2080874041 hasConcept C11097651 @default.
- W2080874041 hasConcept C119857082 @default.
- W2080874041 hasConcept C127313418 @default.
- W2080874041 hasConcept C143724316 @default.
- W2080874041 hasConcept C151406439 @default.
- W2080874041 hasConcept C151730666 @default.
- W2080874041 hasConcept C154945302 @default.
- W2080874041 hasConcept C165205528 @default.
- W2080874041 hasConcept C41008148 @default.
- W2080874041 hasConcept C50644808 @default.
- W2080874041 hasConceptScore W2080874041C11097651 @default.
- W2080874041 hasConceptScore W2080874041C119857082 @default.
- W2080874041 hasConceptScore W2080874041C127313418 @default.
- W2080874041 hasConceptScore W2080874041C143724316 @default.
- W2080874041 hasConceptScore W2080874041C151406439 @default.
- W2080874041 hasConceptScore W2080874041C151730666 @default.
- W2080874041 hasConceptScore W2080874041C154945302 @default.
- W2080874041 hasConceptScore W2080874041C165205528 @default.
- W2080874041 hasConceptScore W2080874041C41008148 @default.
- W2080874041 hasConceptScore W2080874041C50644808 @default.
- W2080874041 hasIssue "2" @default.
- W2080874041 hasLocation W20808740411 @default.
- W2080874041 hasOpenAccess W2080874041 @default.
- W2080874041 hasPrimaryLocation W20808740411 @default.
- W2080874041 hasRelatedWork W1632690555 @default.
- W2080874041 hasRelatedWork W2156223678 @default.
- W2080874041 hasRelatedWork W2242271381 @default.
- W2080874041 hasRelatedWork W2357809648 @default.
- W2080874041 hasRelatedWork W2378555542 @default.
- W2080874041 hasRelatedWork W2381421930 @default.
- W2080874041 hasRelatedWork W2498331889 @default.
- W2080874041 hasRelatedWork W2990514669 @default.
- W2080874041 hasRelatedWork W1629725936 @default.
- W2080874041 hasRelatedWork W2393723963 @default.
- W2080874041 hasVolume "35" @default.
- W2080874041 isParatext "false" @default.
- W2080874041 isRetracted "false" @default.
- W2080874041 magId "2080874041" @default.
- W2080874041 workType "article" @default.