Prediction of porosity in crystalline rocks using artificial neural networks: An example from the Chinese Continental Scientific Drilling Main hole

P-wave velocity differences between surface-derived and core samples from the Sulu ultrahigh-pressure terrane: Implications for in situ velocities at great depths

(2012) Shengsi Sun et al.   GEOLOGY

Resistivity logs of the Chinese Continental Scientific Drilling main hole: Implication for the crustal electrical structure of Dabie-Sulu Terrane, Central-Eastern China

(2011) Miao Luo et al.   Journal of Earth Science

Well logging responses of UHP metamorphic rocks from CCSD main hole in Sulu terrane, eastern central China

(2010) Miao Luo et al.   Journal of Earth Science

Neural network modeling and an uncertainty analysis in Bayesian framework: A case study from the KTB borehole site

(2010) Saumen Maiti et al.   JOURNAL OF GEOPHYSICAL RESEARCH

Application of a radial basis function artificial neural network to seismic data inversion

(2009) Kamel Baddari et al.   COMPUTERS & GEOSCIENCES

Data splitting for artificial neural networks using SOM-based stratified sampling

(2009) R.J. May et al.   NEURAL NETWORKS

The crust and upper mantle of the Sulu UHPM belt

(2009) Wencai Yang   TECTONOPHYSICS

Drilling deep into the ultrahigh pressure (UHP) metamorphic terrane

(2009) Shaocheng Ji et al.   TECTONOPHYSICS

Deep root of a continent–continent collision belt: Evidence from the Chinese Continental Scientific Drilling (CCSD) deep borehole in the Sulu ultrahigh-pressure (HP–UHP) metamorphic terrane, China

(2009) Zhiqin Xu et al.   TECTONOPHYSICS