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921.
922.
Generalized cross-validation for covariance model selection 总被引:4,自引:0,他引:4
Denis Marcotte 《Mathematical Geology》1995,27(5):659-672
A weighted cross-validation technique known in the spline literature as generalized cross-validation (GCV), is proposed for covariance model selection and parameter estimation. Weights for prediction errors are selected to give more importance to a cluster of points than isolated points. Clustered points are estimated better by their neighbors and are more sensitive to model parameters. This rational weighting scheme also provides a simplifying significantly the computation of the cross-validation mean square error of prediction. With small- to medium-size datasets, GCV is performed in a global neighborhood. Optimization of usual isotropic models requires only a small number of matrix inversions. A small dataset and a simulation are used to compare performances of GCV to ordinary cross-validation (OCV) and least-squares filling (LS). 相似文献
923.
本文探讨了利用地质统计学中的三种克立格方法进行井间储层参数预测的原理及方法,并在某油田中应用,通过最优性检验,建立起了适合研究区地质特点的各种储层参数的最佳估计模型,揭示了储层参数在三维空间的变化规律,为建立三维储层预测模型开辟了新的方法。 相似文献
924.
总结和介绍发生在吉林省的地震、地裂缝、崩塌、滑坡、泥石流、地面塌陷、地面沉降、水土流失、陨石雨、沙漠化、盐碱化、沼泽化及洪涝灾害的特点、分布状况及形成机制,探讨了防治与减灾对策。以航、卫片解译查明各地质灾害的影象特征及分布范围,表明遥感技术在地质灾害的调查和监测中,具有重要意义。 相似文献
925.
对于大型水库,在作出诱震危险性评估以后,需要预测可能的发震震级.利用水库综合影响参数E与大量震例的实发震级进行回归,可以获得预测方程.本文依据文献的资料,研究回归模型的精度及误差问题,并给出经过优化后的预测方程. 相似文献
926.
927.
The remote sensing observational study for infrared radiation of rocks was proceeded during the loading on rocks until failure.
The major instruments used in experiments were transient spectrum apparatus, intelligent spectrum apparatus, infrared radiation
thermometer, infrared spectrum radiometer, and infrared thermal imaging system. The experiments for 26 kinds of rocks were
made. The studies show that infrared radiation temperature of rocks increases along with increasing of stress. The amplitude
of infrared radiation spectrum of rocks also increases along with increasing of stress. The observational results of infrared
thermal imaging of rocks are consistent with infrared radiation temperature. Before formation of major faults for some rocks,
the belt-shape thermal imaging of temperature anomaly displaies in position of future major faults. This study has led the
new technology of remote sensing into rock mechanics and tend to establish a new field in rock mechanics — remote sensing
rock mechanics (or remote sensing rock physics). The application of remote sensing rock mechanics in prediction of earthquake
and rock burst, and in measurement of stress field in rock mass is expected.
The Chinese version of this paper appeared in the Chinese edition ofActa Seismologica Sinica,14, Supp., 645–652, 1992.
Jin-Shen HAO, Ji-Han LI, Xiao-Hong LIU, Yi-Qiao ZHI, Jin-Kai ZHANG, Yong-Hong Lü, Yi LIU, Yun-Shen YU, He ZHANG, Quan-Quan
JI, Xiao-Fan ZHU and Ning CHEN took part in this work.
This subject is supported by the Chinese Joint Seismological Science Foundation (91006).
Work of Institute of Geophysics, SSB (93A0009). 相似文献
928.
平行走滑断层相互作用的粘弹模型和减震作用 总被引:6,自引:0,他引:6
研究了二维粘弹性介质中平行走滑断层的相互力学作用及其地震活动性的影响。当一条断层发生滑动,将导致平行断层面上剪切应力减小,因此,可能推迟平行断层发生滑动,推迟时间在几年至几百年的范围内,这取决于发生滑动的断层与平行断层之间的距离,以及平行断层自身应力积累孕育地震过程经历的时间。 相似文献
929.
Babak Mohammadi Nguyen Thi Thuy Linh Ali Najah Ahmed Jana Vojteková Yiqing Guan 《水文科学杂志》2020,65(10):1738-1751
ABSTRACT Accurate runoff forecasting plays a key role in catchment water management and water resources system planning. To improve the prediction accuracy, one needs to strive to develop a reliable and accurate forecasting model for streamflow. In this study, the novel combination of the adaptive neuro-fuzzy inference system (ANFIS) model with the shuffled frog-leaping algorithm (SFLA) is proposed. Historical streamflow data of two different rivers were collected to examine the performance of the proposed model. To evaluate the performance of the proposed ANFIS-SFLA model, six different scenarios for the model input–output architecture were investigated. The results show that the proposed ANFIS-SFLA model (R2 = 0.88; NS = 0.88; RMSE = 142.30 (m3/s); MAE = 88.94 (m3/s); MAPE = 35.19%) significantly improved the forecasting accuracy and outperformed the classic ANFIS model (R2 = 0.83; NS = 0.83; RMSE = 167.81; MAE = 115.83 (m3/s); MAPE = 45.97%). The proposed model could be generalized and applied in different rivers worldwide. 相似文献
930.