ADAPTIVE ROBUST REGRESSION BY USING A NONLINEAR REGRESSION PROGRAM

Adaptive Robust Regression by Using a Nonlinear Regression Program

Robust regression procedures have considerable attention Games in mathematical statistics literature.They, however, have not received nearly as much attention by practitioners performing data analysis.A contributing factor to this may be the lack of availability of these procedures in commonly used statistical software.In this paper we propose algo

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Prospecting Information Extraction by Text Mining Based on Convolutional Neural Networks–A Case Study of the Lala Copper Deposit, China

With geological big data becoming a focus of geoscience research, the vast amount of textual geoscience data provides both opportunities and challenges for data analysis and data mining.In fact, it does not seem possible to meet the demands of the big data age through the traditional manual reading for information extraction and gaining knowledge.I

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Asymptotic theory of the hyperbolic boundary layer in shells of revolution at shock edge loading of the tangential type

The present work is devoted to the construction of asymptotically optimized equations of the hyperbolic boundary layer in thin shells of revolution in the vicinity of the dilation wave front at shock edge loading of the tangential type.These equations are derived by asymptotically integrating  of the exact three-dimensional theory elasticity e

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