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by multivariate non-linear regression analysis method. The average E-value that is compatible with the kinetic model is close to value which was obtained by FWO and KAS methods. The fitting curve matches the original TG curve very well. Key words: lanthanum oxalate decahydrate; TG-DSC; thermal decomposition; multivariate non-linear regression analysis 1 Introduction Sustainable technological development......
DDM regression analysis of the in-situ stress field in a non-linear fault zoneKe Li 1) , Ying-yi Wang 1) , and Xing-chun Huang 1, 2) 1) School of Naval Architecture, Ocean and Civil Engineering...">A multivariable regression analysis of the in-situ stress field, which considers the non-linear deformation behavior of faults in practical projects, is presented based on a newly developed three-dimensional......
in the root-mean-square MOS error.Key words:objective speech quality; data mining; multivariate non-linear regression; fuzzy neural network; support vector regression... model (GMM) is used to generate the artificial reference model trained on perceptual linear predictive (PLP) features. The mean opinion score (MOS) mapping methods including multivariate non-linear......
by ANN are more accurate when compared with conventional multivariate regression analysis (MVRA). In addition, calculation with ANN model indicates that temperature is the predominant parameter and ozone... process of RGC in gold smelter plants and can be used to optimize the process parameters. Key words: pre-oxidation; multivariate regression analysis; artificial neural network; refractory gold concentrate......
J. Cent. South Univ. (2012) 19: 459-464 DOI: 10.1007/s11771-012-1025-2 Particle swarm optimization based RVM classifier for non-linear circuit fault diagnosis GAO Cheng(高成), HUANG Jiao-ying?(黄姣英... Abstract: A relevance vector machine (RVM) based fault diagnosis method was presented for non-linear circuits. In order to simplify RVM classifier, parameters selection based on particle swarm......
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J. Cent. South Univ. (2016) 23: 240-248 DOI: 10.1007/s11771-016-3067-3 Oil–water two-phase flow pattern analysis with ERT based measurement and multivariate maximum Lyapunov exponent TAN Chao(谭超...], impedance probes [4] and image analysis with a high speed camera [5]. Among these methods, the impedance methods have the advantages of low cost, non-intrusive and easy installation, thus can be used not only......
No. 1 were analyzed by the multivariate non-linear regression method, and an empirical formula indicating the rock face temperature was obtained (10) Similarly, the empirical... model Therefore, the empirical model of the rock face temperature in deep open-pit mine can be obtained by the dimensional analysis method and the multivariate nonlinear regression analysis method, which......
Linear regression analysis of oxygen ionic conductivity in co-doped electrolyte XIE Guang-yuan(谢光远)1, LI Jian(李 箭)2, PU Jian(蒲 健)2, GUO Mi(郭 密)1 1. School of Materials... to and the linear regression result is shown in Fig.2 with a linear correlation coefficient of 0.955 6. The above analysis suggests the existence of the linear relationship as Eqn.(5), and the oxygen-ion......
Energy analysis of stability on shallow tunnels based on non-associated flow rule and non-linear failure criterionZHANG Jia-hua(张佳华), WANG Cheng-yang(王成洋) (School of Civil Engineering, Central South University, Changsha 410075, China)Abstract:On the basis of upper bound theorem, non-associated flow rule and non-linear failure criterion were considered together. The modified shear strength......