Research on Applied Technology in Comparison of the Traditional Inversion Method and the AIC Method

Ren Fen Zeng

doi:10.4028/www.scientific.net/AMR.886.528

Paper Titles

An Intelligent Operational Model of Weather Modification in Yunnan Province
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Research on Applied Technology of Palmprint Recognition Based on Fisher Linear Discriminant and Improved PCA Algorithm
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Research on Information Technology with Character Pattern Recognition Method Based on Rough Set Theory
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Research on Applied Technology with Characteristics of Different Inversion Method Based on AIC Selection
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Research on Applied Technology in Comparison of the Traditional Inversion Method and the AIC Method
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Research on Information Technology with Wine Quality Evaluation Based on Neural Network
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The Design of Real-Time Face Detection System for Smart Home
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Research on Information Applied Technology with Analysis of Auction Data Fluctuations of Flowers Based on Generalized Autoregressive Conditional Heteroscedasticity
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Research on Information Applied Technology with Data Analysis of Flowers Auction Data Based on Cointegration and Granger Casualty
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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 886Research on Applied Technology in Comparison of...

Research on Applied Technology in Comparison of the Traditional Inversion Method and the AIC Method

Abstract:

Regularization item, subject to data misfit is used to stabilize the inversion problem. In selection of the trade-off parameter the Akaiche Information Criterion (AIC) has been applied to and compared to the chi-square misfit criterion. For the AIC we can achieve the trade-off parameter more conveniently by minimizing the AIC fuction. The result shows the AIC works well with an agreement to one accomplished from the Chi-square method. The result is very meaningful about applied technology of ocean science and geophysics.

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Periodical:

Advanced Materials Research (Volume 886)

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528-531

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.886.528

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Online since:

January 2014

Authors:

Ren Fen Zeng

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AIC, Applied Technology, Chi-Square, Regularization

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