In this paper, the neural network based modeling for electrical characteristics of the HfO2 thin films grown by metal organic molecular beam epitaxy was investigated. The accumulation capacitance and the hysteresis index are extracted to be the main responses to examine the characteristics of the HfO2 dielectric films. The input process parameters were extracted by analyzing the process conditi...

Machining accuracy reliability as a key index of CNC machine tools is seriously influenced by the geometric and thermal errors. In paper, spindle unit error modeling machining analysis method proposed. By analyzing heat generation mechanism, model was developed to describe deformation electric spindle. Based on immune algorithm (IA), power transfer coefficient were optimized, obtained finite el...

Reliability based optimization (RBO) is one of the most appropriate methods for structural design under uncertainties. It searches for the best compromise between cost and safety while considering system uncertainties by incorporating reliability measures within the optimization. Despite the advantages of RBO, its application to practical engineering problem is still quite challenging. In this ...

Decisions about water pollution control and management in river systems are increasingly based on predictions made with water quality models. Many uncertainties are associated with the development and calibration of such models and thus affect the model predictions. Therefore it often is necessary to perform a model reliability analysis prior to or as a supplement to model application to water ...

The objective of Latin Hypercube Sampling is to determine an effective procedure for sampling from a (possibly correlated) multivariate population to estimate the distribution function (or at least a significant number of moments) of a complicated function of its variables. The typical application involves a computer-based model in which it is largely impossible to find a way (closed form or nu...

This paper addresses a modified epidemic model with saturated incidence and incomplete treatment. The existence of all equilibrium points is analyzed. A reproduction number R0 determined. Next, it found that the non-endemic point P0 stable in case R0<1, but unstable R0>1. special conditions to analyze local global stability endemic are investigated. Globally, sensitivity analysis system s...

We study the notion of γ-negative dependence random variables. This is a relaxation negative orthant (which corresponds to 1-negative dependence), but nevertheless it still ensures concentration measure and allows use large deviation bounds Chernoff-Hoeffding- or Bernstein-type. variables based on points P. These appear naturally in analysis discrepancy P or, equivalently, suitable worst-case i...

This work demonstrates the use of Latin Hypercube Sampling and Proper Orthogonal Decomposition in combination with a Radial Basis Function model to perform on vehicle prediction coupled fluid–thermal–structure. We regarded Mach number, flight altitude angle attack as input parameters established rapid model. The basic process numerical simulation hypersonic fluid–thermal–structure was studied o...

Latin hypercube designs (LHDs) play an important role when approximating computer simulation models. To obtain good space-filling properties, the maximin criterion is frequently used. Unfortunately, constructing maximin LHDs can be quite time-consuming when the number of dimensions and design points increase. In these cases, we can use approximate maximin LHDs. In this paper, we construct bound...